Python for Data Science
Acquire the skills of analyzing data using Python
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Learn Python Libraries
Hands-on expertise in Python libraries - Matplotlib, Numpy, Pandas, and Seaborn
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Industry relevant curriculum
Comprehensive course coverage to build a strong foundation in Python programming
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Python Programming for Data Science

Experienced and qualified faculty

Classroom sessions conducted by IIT, IIM alumni with 40 years of industry experience

Focus on concepts with practicals

Key Concepts

Emphasis on concepts of Python programming with matplotlib, numpy, pandas, and seaborn

Instructor led classroom sessions


32+ hour of instructor-led classroom sessions. Additional 60+ hours for projects and assignments

Virtual classroom sessions

Virtual Classroom

Option of attending the session from home using video conference. Join live classroom and participate in discussion

Know about the upcoming batches

We have designed the program for beginners, who do not have any prior knowledge in Python programming.  The concepts are explained in an easy way to help you learn the Python for data science

Why Python for Data Science?

Python is a preferred programming language for data scientists. It is easy to use and learn programming language with good availability of libraries for data manipulation. Great community support helps in the development of such libraries and use cases to solve complex real-life problems. Python has several machine learning libraries. It gives Python the edge for data science and machine learning.

Python is not only a very powerful tool but also flexible and open source. It is very easy to learn programming language. Anyone, who is familiar with C, C++, Java, Visual Basic, finds this language easy to be proficient in. It is a platform independent language and can integrate with the existing platform. 

Data Science has gained popularity in the recent past. Data science deals in converting a huge amount of raw data to provide meaningful insights and strategy. The data is gathered from many sources, then it is structured and studied to gain insights. The process of drawing the key insights from structured and unstructured data is known as “Data Science”. The professionals working on gaining such insights and presenting them to key stakeholders are known as “Data Analysts” and “Data Scientists“. Today, data science finds its place in retail, finance, e-commerce, healthcare, and IT services industries.


Course Curriculum

Python is easy to learn, general-purpose programming language. The size of the code is too small. The topic covered are as follows

Python Programming

  1. Installation of Python 3.0 on a local machine and setting up a programming environment
  2. Your first program
  3.  IPython Basic
    1. Running IPython Shell
    2. Running Jupyter Notebook
    3. Tab Completion
    4. Introspection
    5. %run Command
    6. Magic Commands
  4. Python Programming Basics
  5. Writing comments in Python
  6.  Understanding Data Types
  7.  Working with strings
  8.  How to format text in Python 3
  9.  String Functions in Python 3
  10.  Convert Data Types
  11.  Using Variables
  12.  String Formatters
  13.  Math in Python and Built in Functions for Numbers
  14.  Boolean Logic
  15.  Lists in Python 3
  16.  Use List Methods
  17.  List Comprehensions
  18.  Tuples and Dictionaries
  19.  How to import and write modules
  20.  Conditional statements
  21.  For, and While loops and Break, Continue and Pass Statements
  22. Functions and Lambda Functions
  23. Error and Exception Handling


  1. Numpy ndarray
  2. Creating ndarrays
  3. Arithmetic with ndarrays
  4. Basic Indexing and Slicing
  5. Boolean Indexing
  6. Transposing Arrays
  7. Universal Functions
  8. Array Oriented Programming with Arrays
  9. File Input and Output
  10. Pseudorandom Number Generation


  1. Pandas Data Structures
  2. Series
  3. DataFrame
  4. Reindexing
  5. Dropping Entries from an axis
  6. Indexing, Selection and Filtering
  7. Integer Index
  8. Arithmetic and Data Alignment
  9. Function Application and Mapping
  10. Sorting and Ranking
  11. Reading and Writing Data


  1. Figures and Subplots
  2. Colors, Markers, and Line Styles
  3. Ticks, Labels, and Legends
  4. Annotation and Drawing on a subplot


  1. Line, Bar, Histogram, Density, Scatter Plots

Project:- Random Walks, Simulating many random Walks

Key Learning Areas

The learning areas include hands on expertise in Python programming and its libraries. The program focuses on building expertise in  Python programming concepts. Even if you do not have any expertise in Python programming, you will learn faster from our classes.

Learn concepts of Python programming language
Concepts of ndarrays and vectorized computation
Machine Learning
Working with structured and tabular heterogeneous data

Join the training program

Learn the latest technology and be part of a revolution. 

Training Program Fee Rs 10000 + GST

Enrollment Fee Rs 4000

Watch our live training sessions to know
more about our training pedagogy

Our Office Locations

Head Office - Gurgaon
Samatrix Consulting Pvt Ltd
311 Vipul Trade Centre
Sector 48, Sohna Road
Gurgaon - 122018
New Delhi
105. Nehru Pl Road,
Block 1, Kalkaji
New Delhi – India
166, Second Floor,
5th Main Road, MC Layout,
Opp BDA Complex,
Karnataka – India
Samatrix Consulting Pvt Ltd
1st Floor,
Near Shakthi Chowk,
Civil Lines
Bijnor – Uttar Pradesh – India


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