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Cohort 142 - (Da/Ds/GenAI - AT)
Course content
43 sections | 93 lessons
Expand all sections
Link and Passcode & Updates Section
1 Lessons
Introduction to Data Science
2 Lessons
Analytics Theory - Introduction to Excel Basic - Time Functions - Basic and Statistical Functions
2 Lessons
TEXT related Function in Excel - LOOKUP - VLOOKUP - HLOOKUP - XLOOKUP
6 Lessons
21st February
1 Lessons
- Excel Shortcuts - Pivot Table - Data Analysis using Pivot Table - Pivot Charts - Report Building and filters in Pivot - Correlation
2 Lessons
Regression - Moving Average - Descriptive Stats - Overview of Data - Types and Forms of Data - Descriptive Statistics
5 Lessons
What if Analysis - Goal Seek and Scenario Manager - Power Query - Transformations in Power Query
2 Lessons
Joins in Power Query - Live Data Connection in Excel - Mode, Variance, Standard Deviation - Skewness, Kurtosis, Range, Coefficient of Range
2 Lessons
Correlation (Pearson and Spearman) - Co-Variance - Squared Error - Mean Squared Error, RMSE, MAD - Inferential statistics - Sample and Population - Sampling Methods - Hypothesis Testing
2 Lessons
t-test - chi-square test, anova - p-value, critical tables - confidence interval - probability distributions - Introduction to Programming - Python Installations
2 Lessons
Keywords in Python - Variable declaration - Rules to write name of Variable - Data Types in Python - Operators in Python - Arithmetic Operators - Comparison Operators - Logical Operators - Assignment Operators
2 Lessons
28th March
2 Lessons
Nested if statements - while and for loop - range function - Nested loops - pass - break - continue
3 Lessons
data structure in python - string - Positive and negative Indexing - Slicing and different methods in string - List - Slicing and Indexing in Lists
2 Lessons
Methods and Functions in List - Tuple - Methods and Functions in Tuple - Set - Methods and Functions in Set
2 Lessons
Dictionary - Methods and Functions in Dictionary - Inbuilt Functions in Python - Lambda function - Lambda with map, filter and sorted
2 Lessons
User Defined Functions - Local and Global variable - Local and Global Functions - Arguments (*args) and Keyword Arguments(**kwargs) - Modules in Python - Math Module
2 Lessons
Random Module - Exception Handling - Try, Except, else, Finally - Assertion Error - Series in Pandas
2 Lessons
Dataframe in Pandas - Different methods and Functions to manipulate data in Pandas
2 Lessons
25th April
2 Lessons
Data Processing in Pandas - Numpy array
2 Lessons
2nd May
2 Lessons
3rd May
2 Lessons
Introduction to database - Installing MYSQL - DDL - DML
2 Lessons
DQL - USE, CREATE, DESCRIBE, SHOW, etc. - OPERATOR in SQL - Aggregating Functions
2 Lessons
JOINS in SQL - Windows Functions - View - Stored Procedures
2 Lessons
Data Analysis and Wrangling in MySQL - Normalisation - Dimensional Modeling - Introduction to PoweBI - PowerBI Installation
2 Lessons
PowerBI walkthrough interface - Report, table and model view - Charts in PowerBI - Formatting options available for charts
2 Lessons
30th May
2 Lessons
31st May
2 Lessons
Create Hierarchy - Buttons, slicers, etc., designs - Creating Blinkit Dashboard
2 Lessons
Blinkit Dashboard completion - parameters - tooltip page
2 Lessons
Introduction to Machine learning - Supervised and Unsupervised ML - Linear Regression
2 Lessons
Linear Regression Implementation - Logistic Regression
3 Lessons
Implementation of Logistic Regression - KNN - KNN Classification implementation - Introduction to Decision Trees
2 Lessons
Decision Tree - CART code for Decision Tree - Introduction to Random Forest
2 Lessons
Random Forest Classification & Regression code - K means Clustering and Implementation - Hierarchical Clustering and Implementation
2 Lessons
Introduction to NLP - Stemming, Lemmatization - Stop words, POS Tags - And their Implementation
2 Lessons
POS tagging - World Cloud - Sentiment Analysis - Deep learning concepts
2 Lessons
Introduction to AI and Cloud Computing - Web Applications-streamlit - Building a simple app using streamlit - Car Price Prediction app in streamlit - Model Deployment
2 Lessons
Pickle, Joblib, Batches in Model Deployment - Github profile creation and other functionalities - Agile Methodologies and SDLC
2 Lessons
- Project Discussion - Doubt Sessions
2 Lessons
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