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Udemy - Data Analytics Real-World Projects in Python 2025-8
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Course content
Sections:
8
•
Activities:
1
•
Resources:
58
- Announcements
- 1 Introduction Course Benefits
- 2 Utilize QnA of the course Golden Oppurtunity
- 3 How to follow this course Must Watch
- 4 Pre requisites Anaconda Python Jupyter install Set up
- 5 Quick Summary of Jupyter Notebook
- 1 What is Data Analytics
- 2 Data Analytics vs Data Science
- 1 First Stage Business Understanding in Real World
- 2 Second Stage What is ETL Extract TransformLoad Pipeline
- 3 Third Stage What is EDA Exploratory Data Analysis
- 4 Fourth Stage Conclusions and Dashboarding
- 1 Overview of Problem Statement
- 3 How to read csv data or how to load data
- 4 Perform Sentiment Analysis Understand Viewer Emotions
- 5 Perform Wordcloud Analysis
- 6 How to Perform Emojis Analysis
- 7 Collect Entire data of Youtube Data Collection
- 8 How to export your data to CSV JSON Databases
- 9 Analysing the most liked category
- 10 Lets Figure out whether audience is engaged or not
- 11 Analyzing trending videos of Youtube
- 12 Do Punctuations in title affect Views Likes Lets Test
- 1 Overview of Problem Statement
- 3 Collecting Various Stock Data Data Collection
- 4 Analysing change in price of the stock overtime
- 5 Analysing moving average of the various stocks
- 6 Observing Closing price change in Apple stock
- 7 Performing resampling Analysis
- 8 Perform Multi Variate Analysis to understand co relation
- 9 Performing Co relation Analysis
- 10 Dashboarding Part 1 Dashboarding with Streamlit Concepts Setup
- 11 Dashboarding Part 2 How to render plots on Dashboarding
- 12 Dashbaording Part 3 How to add radio buttons on dashboards
- 13 Dashboarding Part 4 Launching Your Streamlit Dashboard
- 1 Overview of Problem Statement
- 3 Read data from SQL database
- 4 Checking missing values
- 5 Analysing relation relation between online order and rating
- 6 How to do Text Cleaning
- 7 Perform Unigram analysis
- 8 Performing Bi gram Trigram analysis on data
- 9 Lets Extract geographical coordinates from data
- 10 Lets Perform Spatial Analysis
- 11 How to automate your Data Analysis
- 1 Overview of Problem Statement
- 3 how to read Feather data
- 4 Analyzing Monthly sales
- 5 Analyzing which city has Maximum Order
- 6 Understand What product sold the most Why
- 7 Understanding Trend of the most sold product
- 8 Analysing What products are most often sold together
- 1 Overview of Problem Statement
- 3 Perform Basic Analysis on IPL
- 4 Performing In depth analyis of Batsman performance
- 5 Analysing Toss Decisions across Seasons of IPL
- 6 Analysing whether Winning toss implies winning game or not
- 7 Analysing which team have won the tournament most
- 8 Comparitive Analysis of teams