Data Science with Python - Mentorship

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

3 months

SKILL

Beginner

LECTURES

30 Hrs Live Sessions

ENROLLED

46

  • Program Duration: 3.5 months
  • 25+ Hours of Content
  • 4 Projects
  • Live Sessions During Project Execution & Training
  • Microsoft Certification
  • Internship Offer Letter
  • Internship Completion Certificate
  • Project Report
  • Fee is applicable only for the platform and Microsoft certification examination
  • Program Duration: 2 month
  • 2 Major Projects
  • 30+ Hours of content
  • Internship Offer Letter
  • Internship Completion Certificate
  • Program Completion Certficate
  • Fee is applicable only for the platform

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

Chapter 1 - Introduction Python
  • 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

PROJECTS
  • Hate Speech Detection

  • Surprise Housing Case Study
  • Program Duration: 3.5 months
  • 25+ Hours of Content
  • 4 Projects
  • Live Sessions During Project Execution & Training
  • Microsoft Certification
  • Internship Offer Letter
  • Internship Completion Certificate
  • Project Report
  • Fee is applicable only for the platform and Microsoft certification examination
  • Program Duration: 2 month
  • 2 Major Projects
  • 30+ Hours of content
  • Internship Offer Letter
  • Internship Completion Certificate
  • Program Completion Certficate
  • Fee is applicable only for the platform