Tutors

Innomatics Research Labs

PROGRAM OVERVIEW

CURRICULUM

  Welcome to the Course

  • Innomatics Discord Community Link
  • Zoom Mentoring Session Links

  Orientation Session

  • Intro to Data Science
  • Data Science Applications and Course Orientation - Discord and LMS

  Python Programming

  • Anaconda Installation for Python Programming PDF
  • Intro to Python
  • Day 1 and 2 Python basics File
  • Strings
  • Variables and Strings Lab file
  • List
  • Operators
  • Tuple Set and Dictionary
  • Conditional Statements - I
  • Conditional Statements - II
  • Till Conditional statements Material
  • Loops
  • Python Loops
  • Loops - III
  • Functions
  • Functions - II
  • While Loop File
  • Loops File
  • Functions File
  • File Handling and Exceptions
  • List Comprehensions and Functions Examples
  • Map Filter Reduce Functions
  • List Comprehensions File
  • Map Filter and Reduce File
  • Class and Objects
  • Class and Objects - II
  • Class and Object - III

  Assignments

  • Strings Assignment
  • List and Tuples Assignment
  • Set and Dictionary Assignment
  • Conditions and Loops Assignment
  • Python - Functions and Methods
  • Numpy
  • Pandas Assignment
  • Data Visualizations - Assignment
  • SQL Assignment - I
  • SQL Assignment - II
  • Stats - EDA Assignment
  • Hypothesis Testing Assignment

  Projects

  • Web Scraping and EDA Project
  • Innomatics Project PPT Template
  • ML - Regression Concrete Strength Prediction
  • ML Classification - Churn Analysis (Data Preparation and Model Building)

  Data Analysis - Python

  • Numpy - 1
  • Numpy - II
  • Pandas - I
  • Pandas - II
  • Pandas - III
  • Pandas - IV
  • Pandas - V
  • EDA - I
  • EDA = II
  • EDA - III
  • Pandas - VI
  • Pandas and Visualizations
  • Web scraping
  • Seaborn - I
  • Numpy Lab Files
  • Web scraping Lab File
  • Seaborn Lab File
  • Regular Expressions
  • Regular Expressions - II

  Statistics

  • Descriptive Statistics
  • Descriptive Stats Labs
  • Descriptive Stats Class Notes
  • Descriptive Stats Lab and Probability
  • Conditional Probability
  • Bayes Theorem
  • Bayes Theorem problems
  • Probability File
  • Probability _ III
  • Probability and Distributions Files and Class file
  • Random Variable
  • Distributions
  • Random Variables Class File
  • Distributions - Binomial and Normal Distributions
  • Discrete Probability Distributions
  • Normal Distribution
  • Central Limit Theorem
  • Confidence Interval
  • Hypothesis Testing - 1
  • Hypothesis Testing - II
  • Normal Distributions
  • Normal Distribution , CLT, Confidence Interval and Hypothesis Testing
  • CLT Class File and Lab
  • Hypothesis Testing - I
  • Hypothesis Testing Continue
  • Hypothesis Testing Lab File
  • Hypothesis Testing Labs
  • Chi Square
  • Chi Square Files

  SQL

  • MySQL Installation Step by Step Procedure
  • MySql Installation Procedure File
  • SQL - II Basics and First Command
  • SQL - III Lab Session
  • SQL - IV Lab
  • SQL - V Lab
  • SQL - VI Lab
  • SQL - VII Lab
  • SQL All Lab Files and Material
  • SQL Revision class - I
  • SQL Revision Class - II

  Tableau

  • Introduction to the Tableau and Data Types
  • Day 2 - Various Filters and Data Manipulations
  • Day 3 - Advance filters, parameters, mark tab, calculated field, dual axis
  • Day 1 , Day 2 and Day 3 Class Files
  • Day 4 - Analytics in Tableau
  • Day 5 - Tooltips, Dual Asix, Geo Plots, Actions on worksheet Pages
  • Day 6 - Dashboard ( Formatting, navigation ) Story Board and Publishing of Tableau Workbook
  • Day 7: Advance Charts, LIVE PROJECT and Assignment Explanation
  • Tableau All Classes Complete Lab File
  • Tableau Dashboard Assignment

  Machine Learning

  • Intro to ML - 1
  • Intro to ML - 2
  • Data Pre Processing
  • Data Pre Processing Files
  • Simple Linear Regression Files
  • Simple Linear Regression
  • Math Behind
  • Linear Regression and Gradient Descent

  Deep Learning

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  Interview and Placement Activities

  • Mastering LinkedIn Session for Effective Job Search
  • Python Interview Preparation Session
  • SQL Interview Preparation Session
  • Resume Building Session

  Revision - Data Analysis and Stats

  • Data Analysis - I
  • Data Analysis - I
  • Data Analysis - II
  • Lab file - II

  Python Programming - Assignment Tasks

  • Task - 1 (Basic Python Programming)
  • Task - 2 (Data Types)
  • Task - 3 (Python Maths)
  • Task - 4 (Basic Python - Strings)
  • Task - 5 (RegEx)

  Placement Assessment Section

  • Python, Data Analysis and Statistics Quiz - Interview Preparation SET - A - 31st Oct
  • Machine Learning Interview Preparation Test_Online 3rd Nov
  • Deep Learning Interview Preparation Test - 4th Nov