Tutors

Innomatics Research Labs

PROGRAM OVERVIEW

CURRICULUM

  Course Took Kit (Discord and Mentoring Link)

  • Discord Innomatics Server Community Link
  • Zoom Mentoring Sessions Link
  • Introduction to Data Science and AI
  • Usecases and Understanding of Jupyter notebook Disocord and LMS

  Python Programming

  • Ananconda Installation for Jupyter notebook IDE and Python
  • Basic Programming - Part 1
  • Basic Programming - Part 1 File
  • Python Programming Operators and Sting - Part 1
  • Basic Programming File 1st Aug
  • Strings 1st August
  • Strings - II
  • Strings Files
  • list
  • updated String List File
  • Tuple and Dictionary
  • Tuple and Dictionary Files
  • Sets
  • Conditional Statement - If Else
  • Operators and IF-ELSE-IF File
  • Sets and copyvsDeepCopy Files
  • Conditional Statement
  • Conditional Statement
  • Conditional Statement and While Loops
  • Conditional Statement and While Loops Files
  • Loops and List Dict Comprehensions
  • Comprehensions and For Loops Basic Function File
  • Functions
  • Functions Files
  • Problem solving inner loops
  • Problem Solving with Inner Loops and Function File
  • Functions - Lambda Map Filter Reduce
  • Functions - Lambda Filter Map Reduce File
  • File Handling
  • File Handling File 18th aug
  • File and Exceptional Handling
  • File Handling and Exception Handling File
  • OOPS - I
  • OOPS - File
  • OOPS - II
  • OOPS - II File
  • OOPS - III Part 1
  • OOPS - III Part 2
  • OOPS - III Files

  Data Analysis Using Python

  • Intro to Data Science and Stats
  • Intro to Data Analysis PDF
  • Stats Intro PDF
  • Descriptive Stats - Population Sampling Data Measures and Types
  • Data_Types and Measures Class Files
  • Different Data Scales, Converting numeric data to categorical, Categorical to Numeric.
  • Different Data Scales, Converting numeric data to categorical, Categorical to Numeric.
  • Categories of Data File
  • Descriptive_Stats_Intro Class File
  • Descriptive Stats - Central Tendency and Measure of Dispersion
  • Measure of Dispersion - II
  • _Descriptive Stats_1st sep Files
  • Descriptive Stats_2nd Sep File
  • Pandas - I Pandas Introductions, Series, DataFrames, DataFrame Functionalities.
  • Pandas Introductions, Series, DataFrames, DataFrame Functionalities. File
  • Data Summarization using pandas, reading, writing.
  • Data Summarization using pandas, reading, writing. File
  • Pandas data Access using loc, iloc, modifying, sorting. File
  • Pandas data Access using loc, iloc, modifying, sorting
  • Pandas Merge concat get_dummies cutqcut_append File
  • Pandas Merge concat get_dummies cutqcut_append
  • Groupby_Crosstab_Pivot File
  • Groupby_Crosstab_Pivot
  • Missing_part 1 File
  • Missing Data - I
  • Pandas_Multi indexing and missing data File
  • Pandas_Multi indexing and missing data
  • Multi Indexing filtering, Shift, Rank, Rolling functions and Cumulative Functions
  • Multi Indexing filtering, Shift, Rank, Rolling functions and Cumulative Functions
  • Pandas Duplicated, Drop duplicated, datetime module of python and pandas.
  • Duplicates_Datetime File
  • Numpy - I
  • Numpy - II
  • Numpy Files
  • Numpy - III and Matplotlib basics
  • Numpy File
  • matplotlib file
  • matplolib - II
  • Matplotlib - II File
  • EDA Univariate and Bivariate
  • Matplolib and EDA Univariate File
  • EDA Adv Plots and Regex
  • EDa Adv and Catplot File
  • EDA BIvariate File
  • Regex File
  • Regex Files
  • Regex - II
  • Web Scraping - I
  • Flipkart_Web_Scraping-Laptop1 File
  • Web Scraping - II
  • Web Scraping - II File
  • IMDB_webscraping File
  • Web Scraping - III

  Assignments

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

  Projects

  • Web Scraping Project Final Submissions

  SQL

  • MySQL Workbench Installation Processor
  • MySQL_Installation Processor
  • 1_SQL File
  • SQL 1 - Databses , Dif between DBMS & RDBMS, OLAP, OLTP, DataWarehouse vs Data lake
  • DDL_DML_DCL Commands File
  • SQL 2 - DDL_DML Commands
  • SQL 3 - Operators and DML Commands
  • Operators_DML File
  • SQL - 4 Groupby constraints
  • Groupby constraints Files
  • Joins Files
  • SQL 5 - JOINS
  • Practice session on joins and Inner Query
  • Practice session on joins and Inner Query
  • SQL 7 - Union,Union All, Case statements, Window Functions
  • Union,Union All, Case statements, Window Functions File
  • SQL 8 - Window Function and Python Connections
  • Window Functions and Python Connection File
  • SQL 9 - Views, stored procedures
  • Views, stored procedures Files

  Tableau

  • This section has no content published in it.

  Statistics

  • Introduction to Descriptive Statistics
  • Descriptive Statistics - Part 1 File
  • Measure of Dispersion
  • Descriptive Statistics - Part 2 File
  • Correlation Correlation, Percentiles, Deciles, Quartiles, IQR, Population, Sample, Data Categories
  • Correlation, Percentiles, Deciles, Quartiles, IQR, Population, Sample, Data Categories File
  • Data and Its measure and Sampling techniques
  • DataCategories_Scales_Sampling Methods Files
  • Data Visualization, Data Conversions
  • Data Visualization, Data Conversions Files
  • Importance of Probability, Introduction to Probability, Types of Probability
  • _Introduction_to_Probability File
  • Revision of Probability, Conditional Probability, Bayes Theorem, Independent Events
  • Revision of Probability, Conditional Probability, Bayes Theorem, Independent Events File
  • random variables, Types of Random Variables , Bernouli , Binomial
  • random variables, Types of Random Variables , Bernouli , Binomial Lab Files
  • Expected values, PDF, PMF, CDF, Uniform Distribution in continuous space and discrete space
  • ExpectedValues_PMF_PDF_CDF_Uniform_Dsitribution File
  • Poisson and Exponential Distributions, Example problems
  • Poisson_Exponential_Example_problems File
  • Normal Distribution, Empirical Rules, How to Plot Normal Distribution
  • Normal Distribution File
  • Standard Normal Distribution, Problems on Normal Distribution, Z-tables, Transformations
  • Standard Normal Distribution, Problems on Normal Distribution, Z-tables, Transformations
  • Normality Checks, QQ Plot, Lab implementation
  • Normality Checks, QQ Plot, Lab implementation File
  • Bootstrapping, Central Limit Theorem
  • Bootstrapping, Central Limit Theorem FIles
  • Central Limit Theorem for sums, proportions, Python proof of CLT, Problems on CLT.
  • Central Limit Theorem for sums, proportions, Python proof of CLT, Problems on CLT File
  • CLT for Proportion Estimation of Population parameters point and Interval
  • CLT for Proportion Estimation of Population parameters point and Interval File
  • Confidence Interval, Criterial Value Significance Level File
  • Confidence Interval, Criterial Value Significance Level
  • Confidence_Intervals_T_dist_Python_lab_excel File
  • Example on CI , T Distribution and Excel Lab
  • Chebyshev's theorem, Bias, Introduction to Hypothesis testing, Null & Alternative Hypothesis
  • Introduction to Hypothesis testing, Null Hypothesis, Alternative Hypothesis File
  • Hypothesis Testing - Part 2 Type 1 & 2 Errors
  • Hypothesis_Testing_2 FIle
  • Hypothesis Testing - Part 2 Type 1 & 2 Errors
  • Hypothesis_Testing_2 FIle
  • Z-Test, T-test, p value approach, p value calculation, Example Problems.
  • Hypothesis_Testing_3 FIle

  Machine Learning

  • This section has no content published in it.

  Deep Learning

  • This section has no content published in it.

  Placement Team Activity

  • 8th Oct - Presentation Skills
  • 15th Oct - Resume Building Session
  • 22nd Oct - Presentation Skills Session