Tutors

Innomatics Research Labs

PROGRAM OVERVIEW

CURRICULUM

  Welcome to the Course

  • Discord Community Link Innomatics Server
  • Zoom Mentoring Links

  Orientation Session

  • Introduction to Data Science and Course Understanding
  • Data Science Applications and LMS and Discord Orientation Session

  Python Programming

  • Anaconda Installation PDF for Python and Jupyter Notebook IDE
  • Intro of Anaconda & Python Variable
  • Identifier & Operators
  • Operators & String
  • Python Operator File
  • String
  • String File
  • List & Tuple
  • List & Tuple File
  • Tuple & Set
  • Dictionary & Conditional Statement
  • Conditional Statement - II
  • Conditional Statement File
  • Loops
  • Loops & Conditional Statement - II
  • Functions
  • Functions - II
  • Loop, Conditional Statement & Functions File
  • Bubble Sort & Exception Handling
  • Exception & File Handling
  • Functions and Class & Object
  • Class & Object
  • Class & Object and Descriptive Statistics
  • Functions File
  • Exception Handling File
  • File Handling File
  • Class & Object File

  Assignments

  • Python - String
  • Python - List and Tuple
  • Python - Sets and Dictionary
  • Python - Conditional Statement and Loops
  • Python - Functions and Methods
  • Python - Class and Object
  • Python - Numpy
  • Data Analysis - Pandas
  • Data Visualization
  • Stats - EDA Assignment
  • SQL Assignment - I
  • SQL Assignment - II

  Projects

  • Web Scraping With EDA
  • Innomatics PPT Template for Presentation

  Python - Data Analysis

  • Descriptive Statistics
  • Descriptive Statistics File
  • Descriptive Statistics - II and Numpy
  • Numpy
  • Numpy - II
  • Numpy Files
  • Numpy - II File
  • Pandas
  • Pandas File
  • Pandas - II
  • Pandas - III
  • Data Visualization
  • Data Visualization - II
  • Regular Expression
  • All Pandas & Data Visualization Files
  • Web Scraping - I
  • Web Scraping - II
  • Web Scraping and Advanced Pandas - I
  • Advanced Pandas - II
  • Web Scraping Project Discussion
  • Web Scraping File

  Machine Learning

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  Deep Learning

  • This section has no content published in it.

  Statistics

  • Introduction of Probability
  • Random Variable & Bayes Theorem
  • Intro of Probability File
  • Bernoulli Distribution
  • Binomial, Uniform and Normal Distribution
  • Normal Distribution
  • Lec - 2 & 3 and Probability Distribution Lab File
  • Introduction of Descriptive Statistics
  • Random Variable Lab
  • Random Variable Lab File
  • Bias and Variance
  • Bias Variance Class Notes
  • Bias Variance - II
  • Central Limit Theorem Lab
  • Central Limit Theorem File
  • Hypothesis Testing
  • Hypothesis Testing Notes
  • Hypothesis Testing - II
  • P value and Z score
  • P value and Z score File
  • Z - test Lab
  • Z - test Lab Notes
  • t Test and Chi Square
  • Statistics Revision - I
  • Statistics Revision - I
  • Stats Revision - II
  • Statistics Revision - III
  • Stats Revision Material
  • Stats Revision Notes

  Tableau Module

  • Tableau - 1 Introduction to Tableau
  • Tableau 1 - Intro to Tableau Connecting to DB, Tableau vs Excel Live vs Extract
  • Tableau Installation Procedure Files
  • Super Store Dataset
  • Tableau 2 - Hierarchy Grouping Data Relationship Filters (Categorical Data Source and Continuoues)
  • Tableau 3 - Data Filters Adv Filters Parameter as filters sets color label
  • Tableau 4 - Calculates Conditional Formatting Logical Functions Rank Shape Shading Number Function
  • Tableau 5 - Models Forecasting Trend Line Regression Reference Line and band Clustering
  • Tbaleau 6 - Filter in all Sheets Dashboard Storyboard Extract and publish dashbaord and Formatting
  • Tableau 7 - Special charts and live exercise
  • Tableau Tasks (18 Excercises)
  • Tableau Class Files

  Interview and Placement Activities

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

  SQL Module

  • MySQL Installation Step by Step Procedure
  • MySql Installation Processor File
  • SQL 1 - Intro to SQL, Roles and Importance & RDMS and its Models
  • RDBMS - Advantages & disadvantages types of normalization Basics of SQL structs(DDL DML ETC)
  • Intro to SQL , Structs in SQL Constraints in SQL, Data Types in SQL Hands-on session on DDL
  • DML DCL TCL Sql operators Sql functions
  • HR Schema Database File
  • SQL Basic and HR Employee Lab - Part 1 File
  • SQL Part-1- Database Management System and Normalization PDF File
  • SQL Part-2 Basic SQL_Subset_Operators_Functions_SetOperators_Joins PDF
  • Complete Lab on all the Basic and Group by Order by Using HR Employee - Part 1
  • Lab - join Rank Rank dense concept Sub query
  • Lab File - join Rank Rank dense concept Sub query

  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

  Data Analysis Assessment

  • Python Data Analysis Assessment