Course Content
Day-1: Information about the Course and Data
0/4
Introduction about the course and know your instructor
16:00
What will you learn in this course?
24:44
Data is everywhere and we need more Data Analysts than ever
08:15
Data Analyst vs. Data Scientist
30:02
Day-2: Data Analytics, Statistics and MS Excel
0/2
Data Analytics and Statistics go side by side
47:14
Mastering MS EXCEL from Beginner to Advanced level
06:43:45
Day-3: Prompt Engineering
0/3
Prompt Engineering for AI Developers and Data Analysts
01:04:32
Prompt as a roman urdu questions
01:48
Prompt engineering as a data analyst
18:13
Day-4: Prompt Engineering for EDA
0/1
Prompt engineering for Exploratory Data Analysis (EDA)
26:42
Day-5: Prompt Engineering for Data Cleaning
0/1
Prompt Engineering for Data Cleaning and Data Wrangling
37:13
Day-6: Statistics for Data Anlytics
0/1
Statistics for Data Analytics
14:15:36
Day-7: Trouble Shooting for the course and Discord
0/3
Solutions to Issues you might be facing in this course
03:42
Questions and discord server
03:57
Discord Server for the course is running here
06:12
Day-8: Descriptive Statistics using LLMs
0/3
Revision and what we have done so far
01:55
Descriptive statistics for Data Analysts using prompt engineering
01:06:22
Future outlook from now on what we are going to learn
02:11
Day-9: Data Visualization
0/1
Data Visualization concepts important for Data Reporting
01:03:00
Day-10: Laptop Buying guide
0/1
Data‑Analytics Laptop Buying Guide 2025 🚀 | Deep‑Learning PC Tips | Urdu/Hindi
21:20
Day-11: Prompt Engineering for Data Visualization
0/3
Things we have learned so far in this course
02:00
Statistics main se kia kia seekhna hy
01:04
Prompt Engineering for Data Visualization
59:20
Day-12: AI + Problem Solving
0/2
Use of AI for Problem Solving
46:17
Examples from students for AI for problem Solving
17:32
Day-13: Problems a Data Analyst face
0/1
Problems and projects as a data analyst
06:21
Day-14 to 18: Tableau for Data Visualization
0/1
Tableau for Beginners | Complete Course | 112 minutes
01:53:29
Day-19 to 23: Power BI for Business Analytics
0/1
Power BI Complete Course for Business Intelligence
04:25:07
Day-24 to 30: SQL for Data Analytics
0/1
Structured Query Language (SQL) for Data Analytics and Data Sceince | 2 Hours
02:14:03
Day-31: Data Analytics project portfolio
0/2
Data Analytics Portfolio Projects for Jobs 2025 | Power BI, Tableau, Kaggle & FAO Data Sources
01:11:11
Open and free Data Sources for Data Analyst Portfolio Projects | Google, Kaggle, FAOSTAT, World Bank
05:55
Day-32: Data Transformation and Revision
0/3
Data Transformation using power Querry editor in MS Excel and Power BI
14:37
What we have learned so far
13:29
How much should we use AI for coding?
04:26
Day-33 to 37: Python-101 Crash Course
0/1
Python 101 Crash Course for Beginner Data Scientists
11:55:10
Day- 38 to 41: Python for Data Analytics
0/4
MarkDown in 72 minutes crash course
01:11:24
Data Gathering Using Python APIs | wbdata, FAOSTAT, Eurostat, yfinance for Analysts & Scientists
01:15:30
Master Data Preprocessing, Wrangling, and Cleaning
04:54:16
Data Visualization Masterclass in Python | Matplotlib, Seaborn & Plotly for Beginners to Advanced
05:27:54
Day-42: Complete Data Analytics Project with Report A-Z
0/1
Complete Data Analytics Project with Report A-Z | Python, VS Code & GitHub | Tips Dataset
01:10:12
Day-43: Automatic EDA in Python
0/2
Automated EDA in Python with ydata-profiling | Easy Data Analysis Tutorial
25:06
Developing a Streamlit App for ydata-profiling: Automated EDA in Python
14:24
50 Days of AI-to-Data Analytics Summer Bootcamp 2025
About Lesson

Link to download datasets for Practice: https://github.com/AammarTufail/six-months_python_for_data_science-mentorship-program/tree/main/resources/datasets_for_practice

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