Online Classroom (Weekday)
Mar 30 - Apr 27 05:30 AM - 07:30 AM ( IST )
Online Classroom (Weekday)
Mar 30 - Apr 27 12:30 PM - 02:30 PM ( IST )
Rapid technological advances in Data Science have been reshaping global businesses and putting performances on overdrive. As yet, companies are able to capture only a fraction of the potential locked in data, and data scientists who are able to reimagine business models by working with Python are in great demand.
Python is one of the most popular programming languages for high level data processing, due to its simple syntax, easy readability, and easy comprehension. Python’s learning curve is low, and due to its many data structures, classes, nested functions and iterators, besides the extensive libraries, this language is the first choice of data scientists for analyzing, extracting information and making informed business decisions through big data.
This Data Science for Python programming course is an umbrella course covering major Data Science concepts like exploratory data analysis, statistics fundamentals, hypothesis testing, regression classification modeling techniques and machine learning algorithms.
Extensive hands-on labs and interview prep will help you land lucrative jobs.
Get acquainted with various analysis and visualization tools such as Matplotlib and Seaborn
Understand the behavior of data;build significant models using concepts of Statistics Fundamentals
Learn the various Python libraries to manipulate data, like Numpy, Pandas, Scikit-Learn, Statsmodel
Use Python libraries and work on data manipulation, data preparation and data explorations
Use of Python graphics libraries like Matplotlib, Seaborn etc.
ANOVA, Linear Regression using OLS, Logistic Regression using MLE, KNN, Decision Trees
There are no prerequisites to attend this course, but elementary programming knowledge will come in handy.
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Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the training.
Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be effectively applied.
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Get reviews and feedback on your final projects from professional developers.
Get an idea of what data science really is.Get acquainted with various analysis and visualization tools used in data science.
Hands-on: No hands-on
In this module you will learn how to install Python distribution - Anaconda, basic data types, strings & regular expressions, data structures and loops and control statements that are used in Python. You will write user-defined functions in Python and learn about Lambda function and the object oriented way of writing classes & objects. Also learn how to import datasets into Python, how to write output into files from Python, manipulate & analyze data using Pandas library and generate insights from your data. You will learn to use various magnificent libraries in Python like Matplotlib, Seaborn & ggplot for data visualization and also have a hands-on session on a real-life case study.
Visit basics like mean (expected value), median and mode. Understand distribution of data in terms of variance, standard deviation and interquartile range and the basic summaries about data and measures. Learn about simple graphics analysis, the basics of probability with daily life examples along with marginal probability and its importance with respective to data science. Also learn Baye's theorem and conditional probability and the alternate and null hypothesis, Type1 error, Type2 error, power of the test, p-value.
Write python code to formulate Hypothesis and perform Hypothesis Testing on a real production plant scenario
In this module you will learn analysis of Variance and its practical use, Linear Regression with Ordinary Least Square Estimate to predict a continuous variable along with model building, evaluating model parameters, and measuring performance metrics on Test and Validation set. Further it covers enhancing model performance by means of various steps like feature engineering & regularization.
You will be introduced to a real Life Case Study with Linear Regression. You will learn the Dimensionality Reduction Technique with Principal Component Analysis and Factor Analysis. It also covers techniques to find the optimum number of components/factors using screen plot, one-eigenvalue criterion and a real-Life case study with PCA & FA.
Learn Binomial Logistic Regression for Binomial Classification Problems. Covers evaluation of model parameters, model performance using various metrics like sensitivity, specificity, precision, recall, ROC Cuve, AUC, KS-Statistics, Kappa Value. Understand Binomial Logistic Regression with a real life case Study.
Learn about KNN Algorithm for Classification Problem and techniques that are used to find the optimum value for K. Understand KNN through a real life case study. Understand Decision Trees - for both regression & classification problem. Understand Entropy, Information Gain, Standard Deviation reduction, Gini Index, and CHAID. Use a real Life Case Study to understand Decision Tree.
Understand Time Series Data and its components like Level Data, Trend Data and Seasonal Data. Work on a real- life Case Study with ARIMA.
A mentor guided, real-life group project. You will go about it the same way you would execute a data science project in any business problem.
Project to be selected by candidates.
With attributes describing various aspect of residential homes, you are required to build a regression model to predict the property prices.
This project involves building a classification model.
Predict if a patient is likely to get any chronic kidney disease depending on the health metrics.
Wine comes in various styles. With the ingredient composition known, we can build a model to predict the Wine Quality using Decision Tree (Regression Trees).
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:
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!
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:
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;
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;
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;
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:
Want to become a data scientist in Kolkata? Here is what you should do:
Learning data science is no piece of cake, it involves a lot of studying and practice. Here’s how you can do it:
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:
Coding enhances your chances of getting a better paying job in the industry:
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.||CM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD), Kolkata, India||3-5 January, 2019|
City Centre New Town, Action Area 2 D, Plot No.11/5, New Rajarhat, Kolkata 700157, India
|2.||7th International Data Science Summit, Kolkata, India||20 September, 2019||Biswa Bangla Convention Centre Newtown, Kolkata|
|3.||AIMinds Kolkata, India||11 May, 2019||NSHM Knowledge Campus, 124(60), Basanta Lal Saha Rd, Tara Park, Behala, Kolkata, West Bengal – 700053|
|4.||Advanced Programme in Data Sciences (APDS), Kolkata, India||IIM Calcutta, Diamond Harbour Rd, Joka, Kolkata, West Bengal 700104|
|5.||FIRE 2019: 11th meeting of the Forum for Information Retrieval Evaluation||Dec 12, 2019 - Dec 15, 2019||Indian Statistical Institute, Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108|
1. ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD), Kolkata
2. 7th International Data Science Summit, Kolkata
3. AIMinds Kolkata
4. Advanced Programme in Data Sciences (APDS), Kolkata
5. FIRE 2019: 11th meeting of the Forum for Information Retrieval Evaluation, Kolkata
|1.||Data Science Summit 2018||Aug 10, 2018||Biswa Bangla Convention Centre, DG Block (Newtown), New Town, Kolkata|
1. Data Science Summit 2018, Kolkata
Here’s how one can get started with getting a job as a data scientist in Kolkata:
Here is how one prepares for the data science job:
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;
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:
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;
Here’s what companies in Kolkata want from data science candidates:
Python is perhaps the most well-known programming platform among coders and data scientists. The reasons for which are listed below;
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.
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 -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:
$ Xcode-select --install
/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
brew install python
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.
The content was sufficient and the trainer was well-versed in the subject. Not only did he ensure that we understood the logic behind every step, he always used real-life examples to make it easier for us to understand. Moreover, he spent additional time to let us consult him on Data Science-related matters outside the curriculum. He gave us advice and extra study materials to enhance our understanding. Thanks, KnowledgeHut!
All my questions were answered clearly with examples. I really enjoyed the training session and am extremely satisfied with the overall experience. Looking forward to similar interesting sessions. KnowledgeHut's interactive training sessions are world class and I highly recommend them .
Everything from the course structure to the trainer and training venue was excellent. The curriculum was extensive and gave me a full understanding of the topic. This training has been a very good investment for me.
Everything was well organized. I would definitely refer their courses to my peers as well. The customer support was very interactive. As a small suggestion to the trainer, it will be better if we have discussions in the end like Q&A sessions.
Trainer really was helpful and completed the syllabus covering each and every concept with examples on time. Knowledgehut staff was friendly and open to all questions.
The teaching methods followed by Knowledgehut is really unique. The best thing is that I missed a few of the topics, and even then the trainer took the pain of taking me through those topics in the next session. I really look forward to joining KnowledgeHut soon for another training session.
The course material was designed very well. It was one of the best workshops I have ever attended in my career. Knowledgehut is a great place to learn new skills. The certificate I received after my course helped me get a great job offer. The training session was really worth investing.
I feel Knowledgehut is one of the best training providers. Our trainer was a very knowledgeable person who cleared all our doubts with the best examples. He was kind and cooperative. The courseware was excellent and covered all concepts. Initially, I just had a basic knowledge of the subject but now I know each and every aspect clearly and got a good job offer as well. Thanks to Knowledgehut.
Python is a rapidly growing high-level programming language which enables clear programs on small and large scales. Its advantage over other programming languages such as R is in its smooth learning curve, easy readability and easy to understand syntax. With the right training Python can be mastered quick enough and in this age where there is a need to extract relevant information from tons of Big Data, learning to use Python for data extraction is a great career choice.
Our course will introduce you to all the fundamentals of Python and on course completion you will know how to use it competently for data research and analysis. Payscale.com puts the median salary for a data scientist with Python skills at close to $100,000; a figure that is sure to grow in leaps and bounds in the next few years as demand for Python experts continues to rise.
By the end of this course, you would have gained knowledge on the use of data science techniques and the Python language to build applications on data statistics. This will help you land jobs as a data analyst.
Tools and Technologies used for this course are
There are no restrictions but participants would benefit if they have basic programming knowledge and familiarity with statistics.
Yes, KnowledgeHut offers virtual training.
On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.
Your instructors are Python and data science experts who have years of industry experience.
Any registration canceled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of a written request for refund. Kindly go through our Refund Policy for more details.
In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.
Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor
Kolkata is the capital of the Indian state of West Bengal. This large and vibrant Indian city flourishes amid seemingly hard to overcome economic, social, and political problems. Its citizens exhibit a great joie de vivre that is reflected in a fondness for art and culture and a high level of intellectual vivacity and political awareness. Crowds swarm to Kolkata?s book fairs, concerts and art exhibitions, and there is an energetic trading of polemics on walls, which has led to Kolkata being called the ?city of posters.? Yet for all of Kolkata?s vitality, many of the city?s residents live in some of the worst conditions, far removed from the cultural milieu. The city?s energy nevertheless infiltrates even to the poorest areas, as a large number of Kolkatans sincerely support the efforts of those who minister to the underprivileged. Qualified people seeking new challenges can thrive with certifications that include CompTIA Cloud Essentials, Certified Scrum Master and others. Note: Please note that the actual venue may change according to convenience, and will be communicated after the registration.