Tutors

Innomatics Research Labs

PROGRAM OVERVIEW

CURRICULUM

  Course Took Kit (Discord and Mentoring Link)

  • Discord Innomatics Server Community Link
  • Zoom Mentoring Sessions Link

  Python Programming

  • Ananconda Installation for Jupyter notebook IDE and Python
  • Anaconda Installation and Basic Jupter Operation
  • Introduction to Python File
  • Introduction to Python, Jupyter, Literals, Variables, keywords, Identifiers, Operators
  • Strings, indexing, slicing, concatenation, methods, input(), typecasting
  • Aug 5th - Lists, indexing,slicing, builtin methods
  • Aug 8th - Tuples and builtin methods. Complete file of Lists and Tuples
  • Aug 8th - complete set file
  • Aug 9th - Dictionaries
  • Aug 11th - If, if else, elif, nested if and if else
  • Aug 12th - elif ladder and examples on conditional statements - complete file
  • Aug 16th - Loops , while loop, control statements
  • Aug 17th - for loop, for else, examples
  • Aug 18 - for else programs , list and dict comprehension - complete file
  • Aug 19 - Functions, parameters, return print statements, positional keyword arguments
  • Aug 22 - scope of variables, modularizing the code, eval( ), zip( ), lambda
  • Aug 23 -*args,**args, map, filter,reduce, recursion functions - complete file
  • Aug 24 - File Handling and Exception Handling till try.....finally
  • Aug 25 - Custom exceptions, examples on file and exception handing - complete file
  • Aug 25 - Problem solving
  • Anaconda Installation and Basic Jupter Operation
  • Python Basic Programming - Part 1
  • Basic Programming - Part 2
  • Operators
  • String, indexing and slicing, mathematical operations on strings
  • List
  • Tuple and Set
  • Dictionary
  • Conditional Statement - IF Else - Part 2
  • Conditional Statement - If Else
  • While Loops
  • Loops
  • For Loops and List and Dictionary Comprehensions
  • Function - I
  • Functions - II
  • Functions - III
  • Function s- IV
  • File Handling
  • Exceptional Handling - II
  • OOPS - I
  • Aug 29 - OOPs 1 complete file
  • Aug 30 - Pillars of OOPs , Part 2 - complete file
  • OOPS - II \
  • OOPS - III
  • Sep 1 - Problem Solving
  • Problem Solving

  Data Analysis Using Python

  • Numpy File
  • Complete Numpy File
  • Pandas - I & II Files
  • Pandas - 2 & 3 Groupyby Files
  • Pandas 5 & 6 Merge Concatation Missing Data and Multi Indexing
  • Pandas 7 & Pandas 8 Duplicates and Advanced Filters
  • Descriptive Statistics - I
  • Descriptive Statistics - II
  • Descriptive Statistics - III
  • Numpy - I
  • Numpy - II
  • Pandas - I
  • Pandas2_Modifying and Sorting _iloc and loc
  • pandas_3 and pandas 4 groupby and multii indexing
  • Concationation Joins Missing data and duplicate data time
  • Pandas Adv Functions and Regular Expression
  • Regex - II
  • Regex File
  • Web Scraping File
  • Web Scraping - Part 1
  • Web Scraping - II
  • Matplolib and EDA Univariate File
  • EDA_Bivariate_ Multivariate File
  • Matplolib and EDA Univariate
  • EDA Bi and MultiiVariate
  • EDA Advanced

  Assignments

  • Variables and Datatypes
  • Strings
  • List and Tuples
  • Sets
  • Dictionary
  • Conditional Statements and Loops
  • Functions
  • Python - Class and Object
  • Data Analysis - Numpy
  • Data Analysis - Pandas
  • Data Analysis - Visualization

  Projects

  • Web Scraping Project Final Submissions

  SQL

  • MySQL Workbench Installation Processor
  • MySQL_Installation Processor
  • SQL I - Intro Databases and SQL Basics
  • SQL II - Data Import and Retrieval
  • SQL - III
  • SQL IV - Constraint

  Tableau

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  Statistics

  • Combination topic Files
  • Probability File
  • Probability Bayes Theorem
  • Probability bayes theorem PDF
  • Probability Distribution File
  • Continuous Probability Distribution
  • Continuous Probability Distribution - II
  • Sampling Techniques and CLT - Part 1
  • Sampling Techniques and CLT - Part 2
  • CLT
  • Sampling and CLT File
  • Confidence Interval
  • Confidence Interval File
  • Hypothesis Testing - t Test
  • T test, Anova, Lab
  • T test, Anova, Lab Files
  • F distribution - Chi-square

  Machine Learning

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  Deep Learning

  • This section has no content published in it.