
+18% GST
Pre-enrollment Price ₹ 2000-
Four year Program includes Industrial Training,
Live projects, Internships & Placement Training - Curated reference and study material
- Life time access to e-learning content
- Access content from any device
-
Earn Certificate of Completion,
Project completion certificate,
Co-branded Internship Certificate

What Will I Learn?
- Python for Data Science
- Introduction to Statistics
- Theoretical knowledge and practical aspects of Machine Learning
- Basic knowledge of Artificial Intelligence
- Neural Networks and working
- LSTM and sequence prediction
- Data science capstone project
Program Description
As per The Economist" The world's most valuable resource is Big Data, no longer oil"
The main purpose of this Industrial Training Program is to introduce you to various statistical techniques and to use them to analyze and draw insights from the data. Be it data extraction, wrangling, and pre-processing, you will be expected to don the hat of a data scientist and be able to derive insights build a predictive model and assist companies in making smart decisions
Pre-Rrequisite
- ●A PC/Mobile phone to attend the class
- ●A stable internet connection of at least 1Mbps (Recommended: 2 Mbps)
- ●Headphone and Microphone
- ●A quiet room or surrounding to attend the class.
Program Index
Chapter 1. Introduction Python - Pre - Learning Session
- 1.1-Python Crash course Introduction
- 1.2 Python Demo n install
- 1.3 Python Intro and Installation
- 1.4 Basic python and datatype
- 1.5 Basic,Number,string
- 1.6 Data types
Chapter 2 - Control flow
- 2.1 If else conditions
- 2.2 While & for loop conditions
Chapter 3 - Exception Handling
- 3.1 Exception Handling
Chapter 4 -Functions
- Functions
Chapter 5 - OOPS
- 5.1 CLASSES
- 5.2 OOP
Chapter -6 Deep Learning
- 6.1 Logistic Regression vs DL
- 6.2 TesorFlow and Keras
Chapter -7 Libraries
- 7.1 Introduction to Libraries
- 7.2 Library Introduction
- 7.3 Matplolib
- 7.4 Numpy
- 7.5 Pandas
Chapter 8 - Mathematics
- 8.1 Data
- 8.2 Linear Algebra
- 8.3 Statistics
- 8.4 Stats - Probs
Chapter 9. Intro to Probability & DV
- 9.1 Introduction to Probability, Statistics & SQL
- 9.2 Data Visualization with Tableau
- 9.3 LSTM
Chapter 10 - Machine Learning Models
- 10.1 Clustering
- 10.2 Evaluation Metrics
- 10.3 Logistic Regression - Feature Regression
- 10.4 Logistic Regression
- 10.5 Simple Linear regression
- 10.6 Multiple Linear regression

+18% GST
Pre-enrollment Price ₹ 2000-
Four year Program includes Industrial Training,
Live projects, Internships & Placement Training - Curated reference and study material
- Life time access to e-learning content
- Access content from any device
-
Earn Certificate of Completion,
Project completion certificate,
Co-branded Internship Certificate