Data Science Course with Python in Kolkata, India

The Data Science with Python course has been thoughtfully designed to make you a dependable Data Scientist ready to take on significant roles in top tech companies. At the end of the course, you will be able to:

• Build Python programs: distribution, user-defined functions, importing datasets and more
• Manipulate and analyse data using Pandas library
• Data visualization with Python libraries: Matplotlib, Seaborn, and ggplot
• Distribution of data: variance, standard deviation, interquartile range
• Calculating conditional probability via Hypothesis Testing
• Analysis of Variance (ANOVA)
• Building linear regression models, evaluating model parameters, and measuring performance metrics
• Using Dimensionality Reduction Technique
• Building Binomial Logistic Regression models, evaluating model parameters, and measuring performance metrics
• Building KNN algorithm models to find the optimum value of K
• Building Decision Tree models for both regression and classification problems
• Build Python programs: distribution, user-defined functions, importing datasets and more
• Manipulate and analyse data using Pandas library
• Visualize data with Python libraries: Matplotlib, Seaborn, and ggplot
• Build data distribution models: variance, standard deviation, interquartile range
• Calculate conditional probability via Hypothesis Testing
• Perform analysis of variance (ANOVA)
• Build linear regression models, evaluate model parameters, and measure performance metrics
• Use Dimensionality Reduction
• Build Logistic Regression models, evaluate model parameters, and measure performance metrics
• Perform K-means Clustering and Hierarchical Clustering
• Build KNN algorithm models to find the optimum value of K
• Build Decision Tree models for both regression and classification problems
• Build data visualization models for Time Series data and components
• Perform exponential smoothing

The program is designed to suit all levels of Data Science expertise. From the fundamentals to the advanced concepts in Data Science, the course covers everything you need to know, whether you’re a novice or an expert. To facilitate development of immediately applicable skills, the training adopts an applied learning approach with instructor-led training, hands-on exercises, projects, and activities.

Yes, our Data Science with Python course is designed to offer flexibility for you to upskill as per your convenience. We have both weekday and weekend batches to accommodate your current job.

In addition to the training hours, we recommend spending about 2 hours every day, for the duration of course.

The Data Science with Python course is ideal for:

• Anyone Interested in the field of data science
• Anyone looking for a more robust, structured Python learning program
• Anyone looking to use Python for effective analysis of large datasets
• Software or Data Engineers interested in quantitative analysis with Python
• Data Analysts, Economists or Researcher

There are no prerequisites for attending this course, however prior knowledge of elementary programming, preferably using Python, would prove to be handy.

To attend the Data Science with Python training program, the basic hardware and software requirements are as mentioned below -

Hardware requirements

• Windows 8 / Windows 10 OS, MAC OS >=10, Ubuntu >= 16 or latest version of other popular Linux flavors
• 4 GB RAM
• 10 GB of free space

Software Requirements

• Web browser such as Google Chrome, Microsoft Edge, or Firefox

System Requirements

• 32 or 64-bit Operating System
• 8 GB of RAM

On adequately completing all aspects of the Data Science with Python course, you will be offered a course completion certificate from KnowledgeHut.

In addition, you will get to showcase your newly acquired data-handling and programming skills by working on live projects, thus, adding value to your portfolio. The assignments and module-level projects further enrich your learning experience. You also get the opportunity to practice your new knowledge and skillset on independent capstone projects.

By the end of the course, you will have the opportunity to work on a capstone project. The project is based on real-life scenarios and carried-out under the guidance of industry experts. You will go about it the same way you would execute a data science project in the real business world.

The Data Science with Python workshop at KnowledgeHut is delivered through PRISM, our immersive learning experience platform, via live and interactive instructor-led training sessions.

Listen, learn, ask questions, and get all your doubts clarified from your instructor, who is an experienced Data Science and Machine Learning industry expert.

The Data Science with Python course is delivered by leading practitioners who bring trending, best practices, and case studies from their experience to the live, interactive training sessions. The instructors are industry-recognized experts with over 10 years of experience in Data Science. 

The instructors will not only impart conceptual knowledge but end-to-end mentorship too, with hands-on guidance on the real-world projects.

Our Date Science course focuses on engaging interaction. Most class time is dedicated to fun hands-on exercises, lively discussions, case studies and team collaboration, all facilitated by an instructor who is an industry expert. The focus is on developing immediately applicable skills to real-world problems.

Such a workshop structure enables us to deliver an applied learning experience. This reputable workshop structure has worked well with thousands of engineers, whom we have helped upskill, over the years. 

Our Data Science with Python workshops are currently held online. So, anyone with a stable internet, from anywhere across the world, can access the course and benefit from it.

Schedules for our upcoming workshops in Data Science with Python can be found here.

We currently use the Zoom platform for video conferencing. We will also be adding more integrations with Webex and Microsoft Teams. However, all the sessions and recordings will be available right from within our learning platform. Learners will not have to wait for any notifications or links or install any additional software.

You will receive a registration link from PRISM to your e-mail id. You will have to visit the link and set your password. After which, you can log in to our Immersive Learning Experience platform and start your educational journey.

Yes, there are other participants who actively participate in the class. They remotely attend online training from office, home, or any place of their choosing.

In case of any queries, our support team is available to you 24/7 via the Help and Support section on PRISM. You can also reach out to your workshop manager via group messenger.

If you miss a class, you can access the class recordings from PRISM at any time. At the beginning of every session, there will be a 10-12-minute recapitulation of the previous class.

Should you have any more questions, please raise a ticket or email us at support@knowledgehut.com and we will be happy to get back to you.

With our 100% Satisfaction Guarantee policy, you are assured of the highest standards of quality. At KnowledgeHut, we strive to ensure that your learning experience with us is beyond reproach. However, if for any reason your expectations are not met, we will refund the course fee in accordance with our 100% Satisfaction Guarantee policy.

Yes, you can switch the start date to your Data Science with Python training, with prior notice of at least 24 hrs and subject to availability in the desired batch.

Yes, we have a 100% money-back guarantee in line with our 100% Satisfaction Guarantee policy.

Yes, scholarships are available for students and veterans with grants up to 50% of the course fees.

To avail scholarships for our Data Science with Python course, please get in touch with us at support@knowledgehut.com. The team shall send across the forms and instructions to you. Based upon the responses and answers that we receive, our panel of experts take a decision on the Grant. The entire process could take about 7 to 15 days.

Yes, group discounts are available and apply to groups as small as three (3) participants. The more participants that attend a training course, the greater the discount. By registering in groups, you can typically save up 20% to 30% on the course fee. For more details, please check out upcoming schedules.

Yes, instalment options are available for payment of course fee. To avail the instalment option, please get in touch with us at support@knowledgehut.com. The team will explain how the instalments work and provide timelines for your case.

Typically, the number of instalments vary from 2 to 3, but the full amount must be paid before you complete the course.

Data science is a fairly new and upcoming field of study which deals with- you guessed it- data. In this day and age, data has become the be all and end all of pretty much every industry. It has revolutionized the way business is conducted, both online and offline, making data science the most sought-after career choice for anyone with an IT background. It offers you scope for research, is an exciting and challenging job and provides a sense of accomplishment as well as you can see exactly how you are affecting the market trends with your work.  

Kolkata is one of the major and historic cities in India. With time, it has grown to be one of the most technologically advanced cities. It is home to some of the best institutions in the country which deal with data science and also has some of the leading companies such as IBM, Square1, Top Gear,  ERM, ERev Max Technologies, PwC, Maven Workforce, BridgeTree etc.

Data science involves collecting, arranging and examining data to figure out unique patterns and solutions for a variety of problems. From politics to healthcare to e-commerce- everyone wants a piece of this revolutionary career. So, there is no dearth of opportunities. And the fact that data scientists make good money is an added advantage that encourages people to join this sector. Other reasons why data science is so popular are: 

• Because it allows you to explore more than just coding and databases
• Because data scientists are very much in demand by the big shots of the industry.

Becoming a data scientist is a daunting task, one that involves a good mix of technical and practical skills. Indian Institute of Management Calcutta, Ivy Professional School, S.N. Bose National Centre For Basic Sciences, DBA: Best Data Science, Python, Machine Learning, Data Analytics, AI Certification Course & Training, Praxis Business School, Purba Kolkata Polytechnic For Computer Science,  are some of the best institutes which offer Data science courses. This is what makes living in Kolkata such an advantage for the data scientists.

While you need to be academically brilliant (most data science people are Ph.D. holders or at least postgraduates), business skills and creativity are also a mandatory requirement that you cannot avoid. Here are some technical skills that every company looks for in a data scientist, master these skills and you are sure to be in demand! 

• Python coding: Python is a simple and well-known platform among software engineers and data analysts where you can develop data sets, store information and explore the different permutations and combinations of the said data to develop advanced algorithms. 
• R Programming: R Programming is a more advanced tool used by data scientists to analyze given data and gather valuable insights. The platform also allows you to sort and arrange unstructured data into logical compartments and categories. It is a flexible, versatile and hassle-free problem-solving tool preferred by established data scientists and professionals. 
• SQL Database: SQL is perhaps one of the most extensive database systems in the market which enables users to create logical data sets, get in-depth insights and connect with other programs as well. You can also tweak the basic structure and core code of the data set and customize it to your liking.  
• Hadoop: Most companies do not require Hadoop, however a basic knowledge of how this platform works can get you some brownie points from your employer. It allows the user to design separate data sets, optimize it to the requirement, sort through unstructured data and create accurate algorithms.   
• Apache Spark: Apache Spark is a popular data sharing tool that comes with intuitive and advanced data computational technology. The robust interface is faster than Hadoop, offers better features and is easier to work with. Plus, you get cloud support.  
• Machine Learning: Machine Learning and AI are other necessary skills every aspiring data scientist must learn. With coding and programming, one can control every aspect of the data, from how it is arranged to how it is presented to people. AI allows you to create advanced systems which only enhance the effectiveness and precision of the program.  
• Data Visualization: Data visualization tools like d3.js, ggplot, and Tableau enables users to create data sets, arrange data and customize it. Here, you can convert data sets into multiple formats, gather insights and yield optimized results easily as well.  

Working in the data science sector is not just about mastering the technical skills and becoming a pro at coding. There are certain behavioral traits that employers expect from a data scientist. Possessing these traits gives one an edge over the others in the industry. These are:

1. Thirst for knowledge 
2. Passion for learning 
3. An open mind 
4. Creative and innovative thinking 
5. Quick problem solving skills 
6. Patience and perseverance 

Being a data scientist is a once in a lifetime opportunity that you just have to make the best out of. It gives you the experience and exposure into the intricate details of how market trends are formed and manipulated. Kolkata is a city which offers some lucrative packages and opportunities to data scientist as it is home to some of the most prominent organizations such as IBM, Square1, Top Gear,  ERM, ERev Max Technologies, PwC, Maven Workforce, BridgeTree etc. Here are some perks of being a data scientist which you should know about; 

• Salary: Data scientists get paid well, and this is among the highest paying jobs in the world according to Glassdoor. And the fact that there is no shortage of jobs in the IT industry for data scientists makes this a rewarding vocation. 
• The Prestige: Data scientists are highly appreciated in the IT area. They typically hold impressive degrees and PhDs for their research work and are thus considered to be obviously brainy and bright. 
• Job Satisfaction: Being a data scientist is a very sustaining and thrilling career opportunity. It doesn’t confine you to your work desk all day like other software engineers. As a data scientist, your job would involve going to the sites, traveling around the world and joining meetings as well.  
• Scope for Growth: Data science as a field is still evolving and hence has room for research and expansion. One can work together with associated data scientists and work out new and ground-breaking ways to shape data sets, get better insights and new systematic standpoints. 

Of course, as a data scientist your job will not be limited to the office space but also involve interacting with clients, as you will be required to market your product and understand the latest trends which govern the said market. Here are some business skills that companies look for in budding data scientists and graduates; 

• Decision-making Skills: this involves setting up harmonious relations with other branches, organizing meetings, and handling tons of other things, as a data researcher one has to be good at multitasking. 
• Mechanical Skills: practical skills are vital to your profession as a successful data scientist. One has to be experienced in software design platforms like Hadoop and Spark and have a decent knowledge about the cutting-edge measures taken up by AI to advance data science.  
• Communication Skills: you will have to contact investors, clients, project heads and sometimes even the customers as part of your job to get the overall mood of the market. A pleasant personality, great vocabulary and a passion for your field is mandatory 
• Razor Sharp Intellect: business acumen and technical wit are perhaps the most important and rudimentary requirements of the job. You should be able to come up with actionable solutions, tackle complicated solutions, find unique patterns and handle almost every situation with a sense of calm and maturity.  
• Industry Knowledge: lastly the data scientist must have exhaustive information about the different aspects which directly or indirectly affect the industry. This doesn’t just provide valuable insights about the market but also allows marketers to gain the faith of the clients in return. 

Data science is an ever growing field, and anyone who wants to succeed in this sector must be updated with the latest trends and technologies of the industry. Here are some simple and effective ways in which one can brush up on their skills in data science;   

• Boot camps: Data Science bootcamps in Kolkata provide short term courses in programming languages like Python. The camp lasts for about 4 to 5 days and provides a basic understanding of the coding. 
• MOOC courses: MOOCs are conducted online courses and are suitable for professionals who want to familiarise themselves with the latest industry trends. The classes are taught by data science experts, and enable students to get a better in depth understanding of the subject. 
• Certifications: Certificate courses are a great addition for your CV. It enhances your market value and makes one eligible to better paying jobs in the industry. Here are some of the data science certifications that you can go for:
• Cloudera Certified Associate - Data Analyst
• Cloudera Certified Professional: CCP Data Engineer
• Applied AI with Deep Learning, IBM Watson IoT Data Science Certificate
• Projects: Projects allow data science candidates to improve their problem solving skills and develop a unique perspective.  
• Competitions: Competitions like Kaggle connect you with other data scientists in the industry and widen your network. 

Kolkata has a thriving and ever growing IT sector which requires talented and learned data scientists who can come up with new and innovative solutions to complex problems. There are various leading companies headquartered in and around Kolkata, such as TCS, Tech Mahindra, HCL, Wipro, etc. Data scientists are in demand in other sectors as well. There are banks, hospitals, corporate firms, and other organisations where data scientists, analysts and software engineers are in hot demand. 

Data science is more practical than theory. You have to always work on your technical skills, work on extensive lines of code and learn about the latest developments in the sector. The best way to improve your data science skills is to keep writing new algorithm and executing them. Here, we have categorized different problems according to their difficulty level and your expertise level:

• Beginner Level
• Iris Data Set: this is among the easiest, simplest and most preferred data sets for amateurs. The set is used for recognising patterns, incorporating multiple codes and applying them to real-life situations. This dataset has just 4 rows and 50 columns. Practice Problem: The problem is using these parameters to predict the class of the flowers. 

• Loan Prediction Data Set: this is an extensive and complex data set that allows the user to collect and analyse huge data volumes. The platform is used in the banking sector. While working with this dataset, the user is expected to have a detailed understanding of banking and insurance It is a classification problem dataset with 13 columns and 615 rows. Practice Problem: The problem is to predict if the loan will be approved or not. 

• Bigmart Sales Data Set: this data set deals with the retail sector. Data Science and Business Analytics are combined to calculate interest, keep track of inventory manage and customize product bundling, etc. This dataset is a regression problem with 12 columns and 8523 rows. Practice Problem: The problem is predicting the sales of the retail store. 
• Intermediate Level:
• Black Friday Data Set: this dataset is created from the retail sector. With this dataset, you will be able to analyse the shopping patterns, tastes and preferences of customers. It is a regression problem with 12 columns and 550,069 rows. Practice Problem: The problem is predicting the total amount of purchase.

• Human Activity Recognition Data Set: This dataset takes the trends of smartphones collected via inertial sensors. It is comprised of 30 participants. The dataset consists of 561 columns and 10,299 rows.
  Practice Problem: The problem is the prediction of the category of human activity. 

• • Text Mining Data Set: the text mining data set consists of aviation safety reports, stating the problems passengers faced. The data set incorporates 30,438 rows and 21,519 columns.
    Practice Problem: The problem is the classification of documents based on their labels. 
• Advanced Level:
  • Urban Sound Classification: It is an advanced, high level data set which collects and implements machine learning concepts to real-life problems. It includes 10 classes with 8,732 audio files of urban sounds,
    Practice Problem: The problem is the classification of the sound obtained from specific audio. 
  • Identify the digits data set: Consisting of 7000 images of 31 MB and 28X28 dimensions, this data set allows you in an in depth view into how the image is created and visible online.
    Practice Problem: The problem is identifying the digits present in an image. 
  • Vox Celebrity Data Set: This dataset is used for identifying speakers on a large scale. It uses YouTube videos to take out the words spoken by celebrities.It contains 100,000 words spoken by 1,251 celebrities.
    Practice Problem: The problem is the identification of the voice of a celebrity.

Want to become a data scientist in Kolkata? Here is what you should do:

• Select the right programming language, we would recommend R and Python. 
• Brush on your math and stats skills, data science requires a thorough understanding of these subjects
• Work on data visualisation as well, data visualisation is basically how one presents the content and establishes contact with the end user. 
• Learn the fundamental concepts of AI and  ML as well as these often come in handy. 

Learning data science is no piece of cake, it involves a lot of studying and practice. Here’s how you can do it:

• Get the required academic degree and complete the necessary degree courses with proper certificates. 
• Understanding the intricate concepts of data science, especially unstructured data 
• Master the coding platforms and programming languages for creating data sets and analysing data 
• Learn about AI and ML concepts 
• Know about data visualisation tools like ggplot 

• A degree is necessary for students to broaden their network and know about fellow data scientists and coders in the industry.   
• It allows one to learn in a systematic and rational manner
• The institution that offers the degree can be a great addition to the CV and add on to one's industry value. 
• It offers students great internship opportunities.

With a masters degree in data science, one will be better equipped to deal with the complications of the industry. An advanced understanding of the data sets and coding boosts a data scientist’s confidence and demand in considerable amounts.  If you are having trouble in deciding whether you should go for a Master’s degree, you can try grading yourself on the basis of the below scorecard. If your score is more than 6 points, you should get a Master’s degree:

• A strong STEM (Science/Technology/Engineering/Management) background: 0 point
• A weak STEM background (biochemistry/biology/economics or another similar degree/diploma): 2 points
• A non-STEM background: 5 points
• Less than 1 year of experience in Python: 3 points
• No experience of a job that requires regular coding: 3 points
• Independent learning is not your cup of tea: 4 points
• Cannot understand that this scorecard is a regression algorithm: 1 point

Coding enhances your chances of getting a better paying job in the industry:

• Programming is necessary for understanding data sets 
• It is required for dealing with big stats
• Programming platforms offer the perfect framework for candidates to develop data sets. 

In Kolkata, the average annual salary of a data scientist is Rs. 7,50,000 .

A Data Scientist earns an average of about Rs. 7,50,000 per year in Kolkata as opposed to Rs. 6,15,496 in Bangalore.

Kolkata offers an annual salary of Rs. 7,50,000 per year as compared to Rs. 9,92,129 offered in Delhi.

As opposed to the Data scientist’s average annual salary of Rs. 7,50,000 in Kolkata, data scientists in Mumbai make about Rs. 6,72,492  annually.

The average annual salary of a data scientist in Kolkata is Rs. 7,50,000.  As of now, Kolkata is the only city in West Bengal for which the average salary data is available.

As so many new firms have entered the market in the data science field in Kolkata, the demand for data scientists have also increased. Also, with the BPO expansion, there is a requirement for entry level as well as mid-management professionals. 

The benefits of being a data scientist in Kolkata is that it offers multiple job opportunities, job growth, affordable living, and gives a pay that is up to the mark.

The advantage of being a data Scientist in Kolkata is that there are so many new opportunities in Kolkata. Many small and mid-sized firms have started to realize the power of Data Science and are now looking for data scientists. Data Scientists have the luxury to choose any field that interests them. Also, there is a shift from traditional analytics role to emerging analytics deliverables that offers new horizontals and verticals to your area of interest. They also gain the attention of upper level management as they provide useful insights that help in making important business decisions. 

The companies hiring Data Scientists in Kolkata are Spaa Data Private Ltd, Capgemini. Trapper Technology, Agnik, ICRA Online Limited, TCG Lifesciences, Ps Group, etc.

1. ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD), Kolkata

• About the conference: The conference is hosted by Division II of Computer Society of India and covers the topics of big data, machine learning, and data analytics.
• Event Date: 3-5 January, 2019
• Venue: City Centre New Town, Action Area 2 D, Plot No.11/5, New Town Rajarhat, Kolkata 700157, India
• Days of Program: 3
• Timings: 8:30 A.M. to 8 P.M.
• Purpose: The conference aims at enhancing the knowledge in data analytics by holding sessions by data science experts on topics such as Deep Learning, medical image retrieval, Perception Ranking, Deeply Coupled Graph Structure and similar topics related to data analytics, and also invites research papers on Data Science, its application and Databases.
• How many speakers: 4
• Speakers & Profile:
  • Milind Tambe, Helen N. and Emmett H. Jones Professor in Engineering; Professor, Computer Science & Industrial and Systems Engineering Departments, University of Southern California
  • Subbarao Kambhampati, Professor, Dept. of Computer Science & Engg., Fulton School of Engineering, Arizona State University, Tempe Arizona
  • Raymond J. Mooney, Professor, Professor of Computer Science, The University of Texas at Austin; Director of the UT AI Laboratory
  • Krishna P. Gummadi, Faculty, Head, Networked Systems Research Group, Max Planck Institute for Software Systems (MPI-SWS)
• Registration cost:

• Early Bird Up to Dec 10, 2018
• Professional (Member of CSI/ACM): INR 11800
• Professional (Non-Member): INR 16000
• Academician (Member of CSI/ACM): INR 6000
• Academician (Non-member): INR 7700
• Student (Member of CSI/ACM): INR 3550
• Student (Non-member): INR 5000
• After Dec 10, 2018
• Professional (Member of CSI/ACM): INR 13570
• Professional (Non-Member): INR 18400
• Academician (Member of CSI/ACM): INR 6900
• Academician (Non-member): INR 8800
• Student (Member of CSI/ACM): INR 4100
• Student (Non-member): INR 5750

• Who are the major sponsors:
• American Express
• Tata Consultancy Services
• Microsoft
• Adobe
• IBM
• Google
• Rakuten
• Intel
• Hike
• Amazon

2. 7th International Data Science Summit, Kolkata

• About the conference: The conference is organized by the Data Science Foundation and brings together practitioners and contributors in data science to share their innovative ideas to efficiently understand the various aspects of Data Science.
• Event Date: 20 September, 2019
• Venue: Biswa Bangla Convention Centre NewTown, Kolkata
• Days of Program: 1
• Purpose: The conference aims to provide its attendees a better idea of the new products introduced in IoT, Visualization, AI, and Analytics, and discuss and understand the algorithms applied in data science.
• Whom can you Network with in this Conference:
  • Students
  • Research / Academia
  • Corporates
• Who are the major sponsors:
  • Google Developers
  • Business Brio
  • Webel
  • DBA
  • STPI
  • Somnetics
  • Times Internet
  • Ideal analytics
  • RailTel
  • MSTC
  • Indian Oil
  • Ola
  • Protiviti
  • TCG Digital
  • IDCO
  • CESC Limited
  • Var India

3. AIMinds Kolkata

• About the conference: It is a meetup which is organized in collaboration with NSHM Knowledge Campus to enrich the minds of data enthusiasts by providing them an opportunity to share knowledge and questions with the researchers and practitioners in AI and Data Science.
• Event Date: 11 May, 2019
• Venue: NSHM Knowledge Campus, 124(60), Basanta Lal Saha Rd, Tara Park, Behala, Kolkata, West Bengal – 700053
• Days of Program: 1
• Timings: 10:00 AM to 1:00 PM
• Purpose: It is a meetup which is aimed at sharing knowledge among aspiring minds and enthusiasts in Analytics, Data Science and AI.
• How many speakers: 2
• Speakers & Profile:
  • Vivekananda Karmakar, Consulting Partner – Advanced Analytics, Wipro
  • Angshuman Bhattacharya, CEO and Co-Founder, SIBIA Analytics and Consulting Services PL

4. Advanced Programme in Data Sciences (APDS), Kolkata

• About the conference: The conference includes tutorials to softwares like Tableau, Arena, Apache Spark, SPSS, etc., and imparts knowledge on different techniques and tools used to manipulate, interpret, and analyze data.
• Venue: IIM Calcutta, Diamond Harbour Rd, Joka, Kolkata, West Bengal 700104
• Purpose: The conference aims to help its attendees understand mathematical methods and statistics for data science and learn technologies like Big Data, Optimization, Visualization, Machine Learning, Econometric Method, Database Management and Warehousing, and Categorical Data Analysis.
• Whom can you Network with in this Conference:
• Applicants should be working professionals/self-employed
• Graduates (10+2+3)/Post Graduation in any discipline with min. 50% marks [aggregate - considering results of all years (e.g. 3 or 4 together)] recognized by UGC/AICTE.
• Minimum 3 years of work experience (full-time paid employment) post completion of graduation as on Application Closure Date.

5. FIRE 2019: 11th meeting of the Forum for Information Retrieval Evaluation, Kolkata

• About the conference: The conference calls for submission of original and high quality demos, short papers and full papers on various aspects of Data Science.
• Event Date: Dec 12, 2019 - Dec 15, 2019
• Venue: Indian Statistical Institute, Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108
• Days of Program: 4
• Purpose: The purpose of the conference is to showcase innovative and original research work in the field of Data Science from motivated and enthusiastic candidates.

1. Data Science Summit 2018, Kolkata

• Conference City: Newtown, Kolkata 
• About: The best minds in Data Science and Artificial Intelligence guided people to build projects from scratch. 
• Event Date: Aug 10, 2018
• Venue: Biswa Bangla Convention Centre, DG Block(Newtown), New Town, Kolkata 
• Days of Program: One 
• Timings: 10:00 AM - 05:00 PM
• Purpose: Data Science Summit gave insights into the new products, analytics, and IoT and helped the attendees improve their learning model.
• Speaker Profile:
  • Arindam Biswas, Head - Digital Intelligence FedEx 
  • Sohan Maheshwar,  Alexa Evangelist Amazon 
  • Dr. Subhankar Dhar, Professor, San Jose State University, etc. 
• Whom can you Network with in this Conference: Data-driven professionals who give aid you in the industry and are really apt with the latest developments of data science and artificial intelligence. 
• Registration cost: INR 2500 (may vary)
• Who were the major sponsors:    
  • NASSCOM

Here’s how one can get started with getting a job as a data scientist in Kolkata:

• Select an appropriate programming language, preferably R or Python
• Ensure you're good at maths and stats
• Master AI and ML
• Learn how to deal with unstructured data 
• Try to work with and execute data visualisation
• Practice these skills in competitions like Kaggle.   

Here is how one prepares for the data science job:

• Practice the technical skills and theory of data science 
• Widen your network by attending conferences, job fairs and meetups 
• Participate in competitions to know about other data scientists and familiarise yourself with the latest trends of the industry
• Ensure that your professors or previous employers offer credible referrals 
• Prepare for the interview 

The role of a data scientist is to understand the business problem and convert it into an analytical problem. In this existing corporate context, the role of a Data Scientist is becoming even more critical. The data created and organized by the data scientist is used to monitor and deploy patterns, alter marketplace leanings and more. A day in the life of a data scientist involves tackling multiple tasks, collaborating with numerous clients, coming with amazing ideas and developing stunning strategies which can manipulate the industry. Here are some basic responsibilities and duties which you will be expected to perform;

• To amass statistics from diverse and pertinent sources, both structured and unstructured data 
• Establish and examine the collected data, and extract what’s important 
• Create ML methods, programs, and tools to make the data understandable
• Create algorithms and stats to forecast conceivable consequences.

The average salary for a Data Scientist is ₹7,72,058 in Kolkata, India.

https://www.glassdoor.co.in/Salaries/kolkata-data-scientist-salary-SRCH_IL.0,7_IC2901633_KO8,22.htm 

As discussed earlier, data scientist is an exciting job opportunity that people want to explore not just for the money and the glamour associated with the profession but also the sheer exhilaration which comes with figuring out innovative insights and developing unique plans. Lucky for you, Kolkata encourages data scientists to explore and experiment in their field and come up with innovative data solutions. Here are some career opportunities you can opt for after getting a degree in data science: 

• Data Analyst: As a data analyst your job is to study the market trends, detect customer preferences and have a compact impression about the demographics that your business is aiming at. These aid corporates to develop a strong strategy of how exactly would you want to fashion the market and tweak it to suit your needs. It allows one to dictate the kind of saleable ideas you plan to set up and the publicity policies you will have to assume. 

• Data Researcher: Data scientist has a more problematic job than just spotting and storing marketing trends. As a data expert, your job will entail tasks like assessing massive volumes of data, thinking out patterns, developing a foundation and creating methods grounded on the same. Data experts also have to deal with some software design and hence you must have amazing coding skills. 

• Data Engineer: As a data engineer your job comprises of assembling data sets, inspecting the business strategies, collaborating with third parties, creating procedures and curating data sets that would ultimately help estimate market trends. As a data engineer, you would also have to plan data related actions, develop radical solutions and study the given material realistically. 

• Data Architect: A data architect has to frequently work with data scientists and engineers to create elaborate plans for the commercial organization. The data architect is responsible for the mechanisms of the plan. He has access to all the core codes and the data source which he integrates for better-quality results. 

1. Big Data & Business Analytics - Asia Pacific, Kolkata
2. StepUp Analytics Kolkata Learn Data Science
3. Kolkata Data Science Meetup
4. Analytics Vidhya Kolkata
5. PyData Kolkata
6. Kolkata Artificial Intelligence & Deep Learning Online

Kolkata, as established earlier, is a great space for data scientists and encourages people from the IT sector to join corporate houses and other organizations such as IBM, Square1, Top Gear,  ERM, ERev Max Technologies, PwC, Maven Workforce, BridgeTree etc. to improve earning opportunities. And while it is a very profitable profession, not a lot of people attempt for data science as a career option simply because it involves a lot of hard work and investment. You have to be academically brilliant, great at handling responsibilities and also have a charming personality to woo clients and get more projects. In such an environment, it becomes increasingly difficult to come across and connect with other data scientists in the field. Also, it is important to be aware of contemporaries in the industry, share experiences and learn from each other to create a safe and happy workspace. Here are some ways in which you can meet up with other data scientists and also expand your contacts; 

• Attend as many data science conferences and academic meetings as you can. This doesn’t only allow you to meet your colleagues but also learn about the latest trends and innovative methods. 
• Online platforms like LinkedIn and other portals are also a great place to showcase one’s skills and connect with other data scientists and check their caliber. 
• Technology related events fairs and fests are also places where you can run into data scientists. 

1. Data Scientist
2. DataAnalytics Manager
3. Data Analyst
4. Data Administrator
5. Data Architect
6. Business Analyst
7. Business Intelligence Manager
8. Marketing Analyst

Here’s what companies in Kolkata want from data science candidates:

• An in-depth knowledge of data science, coding and programming 
• Mastery over math and statistics 
• The necessary degrees and certifications 
• Enough practical experience with projects and conferences 

Python is perhaps the most well-known programming platform among coders and data scientists. The reasons for which are listed below; 

• Python is an open source growing community which is compatible with most operating systems- Windows or Linux or Mac- you can install Python anywhere. 
• Python doesn’t have a steep learning curve unlike other programming languages we use
• The OOPS framework adds on to the flexibility and versatility of the platform 
• Python has an ever-growing community of coders and a diverse range of resources and features to develop solid algorithms

All kinds of companies and sectors offer jobs to data scientists, and your skills are in demand practically everywhere! Although simply getting a degree in data science is not all, one must have the practical experience, practical knowledge, and understanding of how things work on site. Here are some of the top platforms currently used by most data scientists in the community. Mastering these platforms can hence be very beneficial. 

• R Programming is an open source software that incorporates top-notch data packages and statistical models 
• Python is better suited for first timers and budding data scientists because of its user-friendly interface and simple features 
• SQL is great for multitasking and makes work a lot easier for data scientists 
• JAVA is optimizable, easy to edit and comprehend. 

• Download and setup: Go to the download page and install the python on Windows using a GUI installer. Make sure that you check the box asking for ass Python 3.x to PATH that will allow you to use the functionality of python from the terminal.

You can also try using Anaconda for installing Python. To check the version of Python installed on your windows, you can use the following command:

python --version

• Update and install setuptools and pip: For the installation and update of most crucial libraries (3rd party), use the following command:

python -m pip install -U pip

Note: For creating an isolated Python environment and pipenv, you have to install virtualenv. Pipenv is a dependency manager for Python.

To install Python 3 on Mac OS X, you can either directly use a .dmg package and install python from their official website or use Homebrew for the installation of Python and its dependencies. All you need to do is to follow these steps:

• Install Xcode: Before you install brew, you need to install the Xcode package of Apple. You need to start with the following command: 

$ Xcode-select --install

• Install brew: Next step is installing Homebrew which is Apple's package manager. You need to use the following command: 

/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" You can confirm if it is installed by using the command: brew doctor

• Install Python 3: The last step is installing Python. For that, use the following code:

brew install python

• You can confirm the version of Python installed on the computer: python --version

For creating isolated spaces to run your projects, you can install virtaulenv. This can also be used if you want to use different versions of Python in different projects.