Data Science with Python

Accelerate your career in Data Science, learning the science behind all the structure, algorithms, and neural networks. Get insights into the application of Data Science.

64/110 Seats
DURATION

45 days

SKILL

Beginner

LECTURES

30 Hrs Live Sessions

ENROLLED

46

  • 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

Career Options

  • Business Intelligence (BI) Developer
  • Data Architect
  • Application Architect
  • Infrastructure Architect
  • Data Scientist
  • Data Analyst
  • Machine Learning Scientist
Program Description

This Live Industrial Training program is for individuals who love statistics, programming and enjoy solving problems. You are someone who loves to constantly learn new things and upskill themselves.
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.
Certification

Program Index

Topics Covered
  • Data Analysis

  • Statistics Inferential and Statistics

  • Model building and fine tuning

  • Supervised and unsupervised learning

  • Natural Language Processing

Introduction to Python
  • Data Structure and Operators

  • Loops

  • Error Handling

  • Reading and Writing in Python

Basic Python-2
  • Comments and Indentation

  • Defining Function

  • Error Handling

  • Modules

Introduction to Statistics
  • Basics

  • Measure of Central tendency

  • Central Limit Theorem

  • Hypothesis Training

Information on Machine Learning (MI)
  • Introduction

  • Data Visualization

  • Data Analysis

  • Data Deployment

  • Linear and Logistic Regression

AI & Neural Networks
  • Get knowledge of AI and different types of Neural Networks

  • Basics of AI and neural networks

  • CNN and RNN Neural Networks

  • TensorFlow and Keras

  • Math behind the algorithm
  • 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