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 analysing, 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 an 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).
A 2012 survey conducted by the Harvard Business Review termed Data Scientist to be the sexiest job in the 21st century. Pune is not only one of the most developed cities in Maharashtra but is also one of the most digitally advanced cities in India. Pune also has several reputed institutions which offer data science courses such as Symbiosis Centre for Information Technology, Aegis School Of Data Science, Savitribai Phule Pune University, Interdisciplinary School of Scientific Computing, IMS Proschool etc. Some other major reasons why data science is popular in cities like Pune are:
Data science necessitates an in-depth understanding of coding, theoretical knowledge and hands-on practical experience. Pune welcomes data scientists who possess the following technical skills:
Here are the top traits you must have to stand out in the crowd as a successful Data Scientist-
Data science comes with its own bonuses some of which are discussed below.
Data science job includes a mix of both technical and business skills. Here are a few business skills you need to become a successful data scientist:
Data science though very satisfying is one of the toughest jobs in the world. One has to be well-versed in the technical concepts of data science, master several coding languages and programming platforms and be a great mathematician. Below are the best ways to brush up your data science skills for data scientist jobs:
Data science is the field which deals with collecting and analyzing this collected data to predict customer trends and formulate marketing strategies. Pune is a hub for data science freshers and professionals looking for a job. Here you find several openings in IT, banking, hospitality, and the medical sector. Infosys, Michael Page, Tata consultancy services, PureEco Tech Solution, Medline Industries, Wolters Kluwer, SG Analytics, etc. are some of the most eminent organizations looking for skilled data scientists.
Data science combines both theory and technical concepts. It involves all kinds of problems and can be applied to all kinds of situations. Data science has ventured into pretty much every sector and is hence extremely important. Here, we have categorized different problems according to their difficulty level and your expertise level:
Data science is a lucrative career choice for anyone who is in the IT sector or is enthusiastic about technology. However, the field is not all roses and rainbows. Only those who are passionate about data and want to learn can manage a successful career in this field.
Becoming a data scientist is no piece of cake, one really has to burn the midnight oil and gain extensive knowledge on a variety of topics to be well-versed in the field. Here are some of the steps one can take to become a successful data scientist. We have also talked about some core skills required to help you kickstart your career as a data scientist:
Getting a degree in Data Science is important for candidates who want to build a career in this sector. Pune has some of the best IT colleges and educational institutes where you can apply for data science courses. A degree in data science helps data science candidates in the following:
Data science as a field is perhaps one of the most academically acclaimed of all IT ventures. Established organizations and companies hire only data scientists who have at least a postgraduate degree in the subject.
So, yes, a master’s degree is the most rudimentary requirement for applicants who want to apply for data science. Data science aspirants can look for the best educational institutions and colleges to study data science. Read about the coursework and the curriculum to get a better idea of the kind of topics covered. A post-grad degree also helps candidates apply for higher endeavors in the research sector and work for their PhDs. If you are still confused 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:
Learning how to code is the most essential skill for anyone in the IT field, regardless of the sector or company one works for. So, yes, of course, it is important that data science candidates learn about the basics of programming languages like Python and R programming. Most of the prominent data science platform is written on some coding platform.
The average annual remuneration of a Data Scientist in Pune is Rs. 5,89,581.
The average annual salary of a data scientist working in Pune is Rs. 5,89,581. Chennai, on the other hand, has an average annual salary of Rs. 8,19,815 for a Data Scientist.
The average salary of a Data Scientist in Pune is Rs. 5,89,581 as compared to Rs. 6,13,889 in Hyderabad.
A Data Scientist earns Rs. 5,89,581 on an average per year in Pune as compared to Rs. 6,72,492 earned by Data Scientists in Mumbai.
A Data Scientist earns Rs. 5,89,581 on an average per year in Pune as compared to Rs. 6,72,492 earned by Data Scientists in Mumbai.
Needless to say, the demand for Data Scientist in Pune is high. The number of trained data scientists is very less considering the demand for these professionals. The need for a data scientist is high and with the amount of data that needs to be processed, it is clear that this need is only going to rise in the future.
There are a number of benefits of being a Data Scientist in Pune. Being one of the hottest jobs right now, a data scientist gets paid really well. Also, there is an opportunity for tremendous job growth in this field. Data Science is still an unexplored world and as companies realise its potential there will be a hiring spree of data scientists.
Apart from the handsome payoff, there are several perks and advantages of being a Data Scientist in Pune. The city is affordable and offers multiple job opportunities in the field of Data Science. Data Scientists do not have to work for a particular business or sector. Instead, they can work in any field of their interest including technology, pharma, security and so on. There are so many companies entering the field of Data Science to seek useful business insights that make it a popular field in the city. Also, the city holds meetups, conferences, certification courses, etc. on Data Science that will help you network and excel in the field of Data Science.
The top companies hiring Data Scientists in Pune are Merkle Sokrati, Bloomberg, Cytel Inc, Alpha Predictions LLP, Forgeahead, SG Analytics, Think bumble bee analytics, Eaton, Sleepiz, 3SC Solutions, and many more.
|1.||Industrial IoT Congress, Pune India||29th Apr, 2019||Hotel Novotel Pune Nagar Road, Weikfield IT City Infopark Survey No 30/3, Viman Nagar Road ,Ramwadi, Sakore Nagar, Viman Nagar, Pune, Maharashtra 411014 India|
|2.||Data Lake 2019 - Pune||15th May, 2019||Royal Orchid Central, Kalyani Nagar, Pune, India|
|3.||Distributed Systems Conference, Pune||2nd May, 2019||JW Marriott Hotel, Senapati Bapat Road, Pune, Maharashtra- 411053|
|4.||IRAJ-International Conference on Big Data, IoT, Cyber Security and Information Technology (ICBDICSIT), Pune, India||12th May, 2019||Kapila business hotel, 174, Dhole Patil Road, Pune, Maharashtra- 411001|
|5.||International Conference on Artificial Intelligence, Machine Learning and Big Data Engineering (ICAIMLBDE), Pune, India||19th May, 2019||Kapila Business Hotel, 174, Dhole Patil Road, Pune, Maharashtra-411001|
|6.||The ASAR- International conference on Machine Learning, Big Data Management and Cloud Computing (ICMBDC), Pune, India||19th May, 2019||Kapila Business Hotel, 174, Dhole Patil Road, Pune, Maharashtra-411001|
|7.||International Conference on Big Data, IoT, Cyber Security and Information Technology (ICBDICSIT), Pune||June 19th, 2019||Kapila business hotel, 174, Dhole Patil Road, Pune, Maharashtra-411001|
|8.||International Conference on Computational Science and Applications (ICCSA) Pune, India||7th - 9th, August 2019||MIT-World peace University, S.No.124, Paud Road, Kothrud, Pune, Maharashtra 411038|
|9.||International Conference On Signal Processing And Big Data Analysis (ICSPBA-19), Pune, 2019||18th June, 2019||Ginger Hotel, Kala Khadak, Near Indira College, Wakad Naka, Wakad, Pune, Maharashtra 411057|
1. Industrial IoT Congress, Pune
2. Data Lake 2019 - Pune
3. Distributed Systems Conference, Pune
4. Matlab Expo, Pune
5. IRAJ-International Conference on Big Data, IoT, Cyber Security and Information Technology (ICBDICSIT), Pune
6. International Conference on Artificial Intelligence, Machine Learning and Big Data Engineering (ICAIMLBDE), Pune
7. The ASAR- International conference on Machine Learning, Big Data Management and Cloud Computing (ICMBDC), Pune, India
8. International Conference on Big Data, IoT, Cyber Security and Information Technology (ICBDICSIT), Pune, India
9. International Conference on Computational Science and Applications (ICCSA) Pune, India
10. International Conference On Signal Processing And Big Data Analysis (ICSPBA-19), Pune, 2019
|1.||Pune Data Conference||31st March, 2017||36/3-B, Koregaon Park Annexe, Mundhwa Road, Ghorpadi, Pune, 411001, Maharashtra|
|2.||First Annual Pune Data Conference||15th Apr 2017||ICC Trade Tower, Senapati Bapat Road, Shivajinagar, Model Colony, Pune, Maharashtra, India|
1. Pune Data Conference, Pune, India
2. First Annual Pune Data Conference, Pune, India
The ideal path one must follow to secure a job as a data scientist includes the step-wise mastery of skills:
If you want to apply for a data science job in Pune, the following steps will increase your chances of success:
Finding patterns among structured and unstructured data, and analyzing them for the purpose of business growth will be a significant responsibility of a data scientist. In the era of virtual markets and job offerings, there is a continuous flow of data that is structured and unstructured that can prove to be useful in making business decisions. The extraction of information that is appropriate for the industry will be done by data scientists.
Basic Roles and Responsibilities of a Data Scientist are:
Data Science is the hottest job of 21st century and the number one profession in 2019. Due to the extreme demand for data scientists and the limited number of experts in the field data scientists earn at least 36% higher than predictive analytics professionals. The salary of a data scientist depends on two factors:
A data scientist has the most unique position in a company. He/She will need to have an aptitude for mathematics, understand computer science and at the same time stay aware of current trends. A data scientist not only analyzes data but finds the relevant ones and directs the future of a company by predicting future outcomes. Thus, there are various roles and responsibilities of a data scientist. The following responsibilities are a part of a data scientist's career graph:
Surveys suggest that a referral is the best way to get hired. To get referred, you must have a vast network. There are many ways to do that:
Being the most popular career choice of 2019, there are various career opportunities for a Data Scientist-
Below are the key points on which every data scientist is evaluated while being considered as a potential employee.
Data Science is a huge field which requires working with a large number of libraries. Finding the right programming language to master is, therefore, important for efficient working with all the libraries-
The following are the steps to download Python 3 for Windows:
Alternatively, you can also install python via Anaconda as well. Check if python is installed by running the following command, you will be shown the version installed:
python -m pip install -U pip
Note: You can install virtualenv to create isolated python environments and pipenv, which is a python dependency manager.
You can simply install python 3 from their official website through a .dmg package, but we recommend using Homebrew to install python as well as its dependencies. To install python 3 on Mac OS X, just follow the below steps:
$ xcode-select --install
/usr/bin/ruby -e "$(curl -fsS https://raw.githubusercontent.com/Homebrew/install/master/install)"Confirm if it is installed by typing: brew doctor
brew install python
You should also install virtualenv, which will help you create isolated places to run different projects and may run even on different python versions.
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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