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Data Science with Python Training in Pune

4.9 ( 218 ) Ratings

Intellipaat’s Python Data Science course in Pune offers 24/7 learning support from our SMEs with experience over 12 years. This comprehensive training includes NumPy, the OOP paradigm, Lambda function, etc. and various Data Science projects. After the completion of the course, you will become a certified Data Scientist with Python skills. So, enroll for the best Data Science with Python Course in Pune created by experts.

Key Highlights

39 Hrs Instructor Led Training
24 Hrs Self-paced Videos
50 Hrs Project & Exercises
Certification and Job Assistance
Flexible Schedule
Lifetime Free Upgrade
24 x 7 Lifetime Support & Access
Intellipaat-Key-Features
Intellipaat-Key-Features
Intellipaat-Key-Features

Python Data Science Course in PuneOverview

The Data Science with Python training in Pune covers both fundamentals and advanced concepts such as Naïve Bayes classifier, support vector machine (SVM), loading and handling data with Pandas, ANOVA, and many others advanced concepts along with real-world projects and case studies.

What will you master in this Python for Data Science training in Pune?

In this Data Science with Python Course in Pune online, you will learn about

  • Introduction to Data Science with Python
  • MapReduce programming 
  • SQLite and its operations and classes
  • Time series forecasting
  • Pig UDFs and Hive UDFs in Python
  • Scientific computing with SciPy
  • OOP, expressions, and functions
  • Python basic constructs

You will also be working on Data Science case studies as part of the course.

You can take up this Data Science with Python training in Pune if you have worked in the following profiles or are interested:

  • Big Data expert
  • Software Developer
  • Analytics professional
  • BI Manager
  • Project Manager
  • ETL professional

You can also register if you are an aspirant and looking for a certification to help you get ahead in the Data Science field.

  • Data Science skills are on high priority for organizations in most countries – PC World
  • The average salary of a Data Scientist in Pune is ₹724,000 annually – PayScale
  • 260+ openings are available for Data Scientist positions in Pune – LinkedIn

If you consider a career in Data Science and Python, then enroll in this Python for Data Science course in Pune now!

Intellipaat does not have any prerequisites for this Data Science with Python training in Pune. Nonetheless, knowledge of programming will be beneficial to your learning process. Register today!

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Data Scientist: The Sexiest Job of the 21st Century - Harvard Business Review
Data really powers everything that we do. - By Jeff Weiner, CEO of LinkedIn

Career Transition

Career Transition Handbook

Skills Covered

  • Probability & Statistics
  • Machine Learning
  • Programming
  • Data Manipulation
  • Data Visualization with Matplotlib
  • OOPS in Python
  • Dimensionality Reduction
  • Time Series Forecasting
  • Python Integration with Spark
  • Pandas, NumPy, & Scikit-Learn
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Course Fees

Self Paced Training

  • 24 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access

$176

Online Classroom Preferred

  • Everything in self-paced, plus
  • 39 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
07 Aug

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

10 Aug

TUE - FRI

07:00 AM TO 09:00 AM IST (GMT +5:30)

15 Aug

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

21 Aug

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$281 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
  • Enterprise grade reporting

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Python Data Science Course Content

Live Course

Module 01 - Introduction to Data Science using Python

Preview

1.1 What is Data Science, what does a data scientist do
1.2 Various examples of Data Science in the industries
1.3 How Python is deployed for Data Science applications
1.4 Various steps in Data Science process like data wrangling, data exploration and selecting the model.
1.5 Introduction to Python programming language
1.6 Important Python features, how is Python different from other programming languages
1.7 Python installation, Anaconda Python distribution for Windows, Linux and Mac
1.8 How to run a sample Python script, Python IDE working mechanism
1.9 Running some Python basic commands
1.10 Python variables, data types and keywords.

Hands-on Exercise – Installing Python Anaconda for the Windows, Linux and Mac

Module 02 - Python basic constructs

Preview

2.1 Introduction to a basic construct in Python
2.2 Understanding indentation like tabs and spaces
2.3 Python built-in data types
2.4 Basic operators in Python
2.5 Loop and control statements like break, if, for, continue, else, range() and more.

Hands-on Exercise –
1.Write your first Python program
2. Write a Python function (with and without parameters)
3. Use Lambda expression
4. Write a class
5. Create a member function and a variable
6. Create an object and write a for loop to print all odd numbers

3.1 Central Tendency
3.2 Variability
3.3 Hypothesis Testing
3.4 Anova
3.5 Correlation
3.6 Regression
3.7 Probability Definitions and Notation
3.8 Joint Probabilities
3.9 The Sum Rule, Conditional Probability, and the Product Rule
3.10 Bayes Theorem

Hands-on Exercise –

1. We will analyze both categorical data and quantitative data
2. Focusing on specific case studies to help solidify the week’s statistical concepts

4.1 Understanding the OOP paradigm like encapsulation, inheritance, polymorphism and abstraction
4.2 What are access modifiers, instances, class members
4.3 Classes and objects
4.4 Function parameter and return type functions
4.5 Lambda expressions.

Hands-on Exercise –
1. Writing a Python program and incorporating the OOP concepts

5.1 Introduction to mathematical computing in Python
5.2 What are arrays and matrices, array indexing, array math, Inspecting a NumPy array, NumPy array manipulation

Hands-on Exercise –

1. How to import NumPy module
2. Creating array using ND-array
3. Calculating standard deviation on array of numbers and calculating correlation between two variables.

6.1 Introduction to SciPy, building on top of NumPy
6.2 What are the characteristics of SciPy
6.3 Various sub-packages for SciPy like Signal, Integrate, Fftpack, Cluster, Optimize, Stats and more, Bayes Theorem with SciPy.

Hands-on Exercise:

1. Importing of SciPy
2. Applying the Bayes theorem on the given dataset.

7.1 What is a data Manipulation. Using Pandas library
7.2 NumPy dependency of Pandas library
7.3 Series object in pandas
7.4 DataFrame in Pandas
7.5 Loading and handling data with Pandas
7.6 How to merge data objects
7.7 Concatenation and various types of joins on data objects, exploring dataset

Hands-on Exercise –

1. Doing data manipulation with Pandas by handling tabular datasets that includes variable types like float, integer, double and others.
2. Cleaning dataset, Manipulating dataset, Visualizing dataset

8.1 Introduction to Matplotlib
8.2 Using Matplotlib for plotting graphs and charts like Scatter, Bar, Pie, Line, Histogram and more
8.3 Matplotlib API

Hands-on Exercise –
1. Deploying Matplotlib for creating pie, scatter, line and histogram.
2. Subplots and Pandas built-in data visualization.

9.1 Revision of topics in Python (Pandas, Matplotlib, NumPy, scikit-Learn)
9.2 Introduction to machine learning
9.3 Need of Machine learning
9.4 Types of machine learning and workflow of Machine Learning
9.5 Uses Cases in Machine Learning, its various algorithms
9.6 What is supervised learning
9.7 What is Unsupervised Learning

Hands-on Exercise –

1. Demo on ML algorithms

10.1 What is linear regression
10.2 Step by step calculation of Linear Regression
10.3 Linear regression in Python
10.4 Logistic Regression
10.5 What is classification
10.6 Decision Tree, Confusion Matrix, Random Forest, Naïve Bayes classifier (Self paced), Support Vector Machine(self paced), XGBoost (self paced)

Hands-on Exercise – Using Python library Scikit-Learn for coming up with Random Forest algorithm to implement supervised learning.

11.1 Introduction to unsupervised learning
11.2 Use cases of unsupervised learning
11.3 What is clustering
11.4 Types of clustering(self-paced)-Exclusive clustering, Overlapping Clustering, Hierarchical Clustering(self-paced)
11.5 What is K-means clustering
11.6 Step by step calculation of k-means algorithm
11.7 Association Rule Mining(self-paced), Market Basket Analysis(self-paced), Measures in association rule mining(self-paced)-support, confidence, lift
11.8 Apriori Algorithm

Hands-on Exercise –
1. Setting up the Jupyter notebook environment
2. Loading of a dataset in Jupyter
3. Algorithms in Scikit-Learn package for performing Machine Learning techniques and training a model to search a grid.
4. Practice on k-means using Scikit
5. Practice on Apriori

12.1 Introduction to PySpark
12.2 Who uses PySpark, need of spark with python
12.3 PySpark installation
12.4 PySpark fundamentals
12.5 Advantage over MapReduce, PySpark
12.6 Use-cases PySpark and demo.

Hands-on Exercise:
1. Demonstrating Loops and Conditional Statements
2. Tuple – related operations, properties, list, etc.
3. List – operations, related properties
4. Set – properties, associated operations, dictionary – operations, related properties.

13.1 Introduction to Dimensionality
13.2 Why Dimensionality Reduction
13.3 PCA
13.4 Factor Analysis
13.5 LDA

Hands-on Exercise –
Practice Dimensionality reduction Techniques : PCA, Factor Analysis, t-SNE, Random Forest, Forward and Backward feature

14.1 White Noise
14.2 AR model
14.3 MA model
14.4 ARMA model
14.5 ARIMA model
14.6 Stationarity
14.7 ACF & PACF

Hands-on Exercise –
1. Create AR model
2. Create MA model
3. Create ARMA model

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Free Career Counselling

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Data Science with Python Projects

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!

Python Data Science Certification

How are Intellipaat-verified certificates awarded?

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500 companies.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

This Intellipaat Python for Data Science training will give you hands-on experience in mastering one of the best programming languages that is Python. In this online Python for Data Science course, you will learn about the basic and advanced concepts of Python including MapReduce in Python, Machine Learning, Hadoop streaming and also Python packages like Scikit and Scipy. You will be awarded the Intellipaat Course Completion Certificate after successfully completing the training course.

As part of this online Data Science with Python course, you will be working on real-time Python projects that have high relevance in the corporate world and step-by-step assignments, and the curriculum is designed by industry experts. Upon the completion of the Python for Data Science certification, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support and course material upgrading to the latest version at no extra fees. Hence, it is clearly a one-time investment.

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Python Data Science Course Reviews

4.9 ( 3,191 )

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Python Data Science Training FAQs

Why should I learn Python for Data Science from Intellipaat?

This Intellipaat Python for Data Science training will give you hands-on experience in mastering one of the best programming languages that is Python. In this online Python for Data Science course, you will learn about the basic and advanced concepts of Python including MapReduce in Python, Machine Learning, Hadoop streaming and also Python packages like Scikit and Scipy. You will be awarded the Intellipaat Course Completion Certificate after successfully completing the training course.

As part of this online Data Science with Python course, you will be working on real-time Python projects that have high relevance in the corporate world and step-by-step assignments, and the curriculum is designed by industry experts. Upon the completion of the Python for Data Science certification, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support and course material upgrading to the latest version at no extra fees. Hence, it is clearly a one-time investment.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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