Data Scientist

The sexiest job of the 21st century

Experience world-class Data Science training by an industry leader on the most in-demand Data Science and Machine learning skills. Gain hands-on exposure to key technologies including R, Python, Tableau, Hadoop, and Spark. Become an expert Data Scientist today.

Data Science

According to researcher Data scientist has been called “the sexiest job of the 21st century,” presumably by someone who has never visited a fire station. Nonetheless, data science is a hot and growing field, and it doesn’t take a great deal of sleuthing to find analysts breathlessly prognosticating that over the next 10 years, we’ll need billions and billions more data scientists than we currently have.

Tools Covered

TensorFlow, Scikit-Learn, PyTorch, Jupiter Notebook, Apache, Azure, Keras, Tableau, MatplotLib, Pandas, Seaborn


Career in Data Science

Jobs that are ideal for data science-trained professionals include:
Data Analyst

A data analyst collects, processes and performs statistical analyses on large dataset.

Data Scientist

Data scientists answers major questions that help organizations make objective decisions.

Machine Learning Engineer

Creating programmes and algorithms that enable machines to take actions without being directed.

Statistical Programming Specialist

Creating computer software that can collect, analyze and report information from large databases.

Who can do?

Who should take this Data Scientist Master's Program

  • Beginners or Recent Graduates
  • IT Professionals
  • Analytics Managers
  • Business Analysts
  • Banking and Finance Professionals
  • Marketing Managers
  • Supply Chain Network Managers

Course Details

Total Duration 7 Months

Unit: 1

Basic Python for Data Science

Basic Python for Data Science

• Data Science Overview
• Anaconda Installation
• Working on Jupyter notebook
• Data Structures in Python
• Control & Loop Statements in Python)
• Functions & Classes in Python
• Working with Data

Time Duration: 2 Weeks

Unit: 2

Data Frame Manipulation with Pandas

Data Frame Manipulation with Pandas

• Data Acquisition(Import & Export)
• Indexing
• Selection and Filtering Sorting & Summarizing
• Combining and Merging Data Frames
• Removing Duplicates
• String Manipulation
• Matplotlib
• Numpy
• Assignment 

Time Duration: 3 Weeks

Unit: 3

Exploration Data Analysis with Python

Exploration Data Analysis with Python

• What is EDA?
• Processes in EDA
• Handling Data Types
• Univariate and Bivariate Analysis
• Hypothesis Testing
• Assignment  

Time Duration: 2 Weeks 

Unit: 4

Time Series Analysis

Time Series

• Understand Time Series Data
• Visualizing TIme Series Components
• Exponential Smoothing
• Assignment

Time Duration: 2 Weeks

Unit: 5

Clustering Analysis

Clustering Analysis

• What is Clustering?
• K-means Algorithm
• Types of Clustering
• Evaluating K-means Clusters
• Assignment

Time Duration: 2 Weeks

Unit: 6

 Principal Component Analysis

Principal Component Analysis

• Introduction - Principal Component Analysis (PCA)
• One-eigen value criterion
• Factor Analysis
• Assignment

Time Duration: 2 Weeks

Unit: 7

Machine Learning Classification

Machine Learning Classification

• Machine Learning Modelling Flow
• How to treat Data in ML
• Parametric & Non-parametric ML Algorithm
• Types of Machine Learning
• Assignment

Time Duration: 3 Weeks

Unit: 8


Regression in Data Science

• Introduction to Linear and Logistic Regression
• Linear Regression using Gradient Descent
• Linear Regression using Stochastic Gradient Descent
• Logistic Regression using Stochastic
• Gradient Descent
• Assignment

Time Duration: 5 Weeks

Unit: 9

ML Optimization Techniques

ML Optimization Techniques

• Performance Measures
• Bias-Variance Trade-Off
• Optimization Techniques
• Overfitting & Underfitting
• Assignment

Time Duration: 2 Weeks

Unit: 10

KNN Algorithm

KNN Algorithm

• K Nearest Neighbor
• Understanding KNN
• Choosing K
• Distance Metrics - Euclideam, Manhattan
• Assignmen

Time Duration: 3 Weeks

Unit: 11

Decision Tree Classifier

Decision Tree Classifier

• Introduction of Decision Tree
• Decision Tree
• Fundamental concepts of Ensemble
• Bagging - Random Forest
• Boosting - Gradient Boosting
• Assignment

Time Duration: 3 Weeks

Unit: 12

Support Vector Machines

Support Vector Machines

• Support Vector Machines (SVM)
• Understanding Hyperplane
• Perceptron Algorithm
• SVM Kernels
• SVM Optimization
• Applications of SVM
• Assignment

Time Duration: 2 Week

Case Studies in 
Data Science

As a Data Scientist, you are required to understand the business problem, design a data analysis strategy, collect and format the required data, apply algorithms or techniques using the correct tools, and make recommendations backed by data. 

  • Sentiment Analysis - Twitter
  • Movie Recommendation System - Netflix, Youtube
  • Time Series Forecasting - Weather Forecast, Market prediction , Solar
  • Real Time prediction  - 99Acers, Housing, Amazon, Banking
  • Regression - Data Analysis
Case Studies in  Data Science

How to join

Start learning today as per your convenience
Online Courses with Pythonext
Online Courses
Library Based Learning

Online courses are delivered asynchronously where students learn on their own schedule (self-paced learning) without any real time instructor. The course content - lessons, prerecorded video lectures and tutorials, tests and quizzes, homework and assignments can be access by the students enrolled in the course at any time, as long as the course is active and available.

Live Online Classes with Pythonext
Live Online Classes
Virtual room

Live online classes are synchronous events organized in a live virtual meeting room where students and trainers meet together to communicate with voice, video, whiteboard. Live online classes require students and instructors to be online at the same time. Meetings and lectures occur at the same hour. All students must be online and connected to the internet at that specific hour.

Classroom Classes with Pythonext
Classroom Classes
Classroom & Workshop based

We provide classroom coding sessions at our training center based in New Delhi. We also conduct weekly workshops for performance insights.
We have a strong team of professions who are experts in their fields. Our trainers are highly supportive and render a friendly working environment to the students positively stimulating their growth.

Why choose us?

  • Daily Workshop
    Get hands on experience while working on a project with professionals. Practical sessions are held every alternate day to inspect theoretical knowledge.
  • Real world project Assignments
    Prepare given project assignments to have a check on your programming skills. Projects involving real world data sets.
  • Career Counseling
    Our expert and supportive counselling panel is always present to guide you in any situation.
  • Internship
    This project will put you in a corporate development environment. You will be coding Python application to perform Data Analysis. You will create & execute the code and have an opportunity to compare it.
Join Data Science Course Today
Join the top ranked Data science course

Chance to make a difference

Join the top ranked Data science course with pythonext and get affordable & quality training to enhance your professional career.

Launch your Data Science career:
Course: Python with Data science
Time Duration: 7 Months
Training Mode: Online, Classroom Training & 1to1
Fee Option: 3 equal Installments or Monthly
Class Timings: Weekdays & Weekend (Sat-Sun)
Certification: Certificate program in Data Science

Special Offer!!
Get assured 40% discount on Data science till Dec'20

₹41,250 ₹75,000
Start Data Science Today
  • This Course Plus the Full Specialization
  • Experts & professional trainers
  • Workshop based learning
  • Online, Live & Classroom Training
  • Self-Paced Learning material Option
  • Course Videos & Readings
  • Assignments with Peer Feedback
  • Quizzes with Feedback
  • Assignments

Free Demo & Counselling

This demo class is a 1 hour session. The demo class is conducted on industry-standard online class infrastructure from You'll just need a computer/ tablet with good internet connectivity to participate.

What you will learn in the demo:
•  How to get started with Data Science as a career option
•  Application of Data Science
•  Data Science terminologies
•  Understand real-life business scenarios that encounter
•  Hands-on experience in data analysis using Python
•  How to choose the right data science program

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