
In this tutorial , we will learn how to Perform ETL(Extract , Transform , Load) pipeline in real world Projects ?
In this lecture , you will understand the business problem we aim to solve using Data Analytics.
In this session , we will understand how to load CSV data in Python to prepare it for Data Analytics tasks.
In this lecture, you will learn the business problem we aim to solve through Time Series Data Analytics on stock market data.
Learn how to collect stock price data from multiple companies for Time Series analysis..
Welcome to your journey into the world of Data Analytics !
If you want to become a Data Analyst , the best way to start is to solve real-world Data Analyst Projects.
This course is designed for anyone who wants to solve real-world Data Analysis projects and build a job-ready Data Analyst portfolio using Python
Real Projects You’ll Build
YouTube Data Analytics Project
Stock Market Data Analytics using Python
Zomato Data Analysis Project
Sales Data Analysis Project
IPL Data Analytics Project
Each project will help you practice Python libraries and understand how Data Analytics works in the real world.
Student Testimonials:
Excellent Course for Data Analytics Real World Projects.. specially in Python. Recommended Course for those who want to start or transform their career in Data Analytics- Alokkumar Mahato
nice course, easy to understand lectures. Shan Singh was quick to respond to my questions too. i feel more confident compiling my portfolio now - Burutolu Q
I love how in 5 projects I went to 0 to 100% of knowledge of how to use some libraries and how to interpretate the results ! Also all my questions were answered ! Amazin course 110/100 - María Fernanda Villegas CascoU
The course was really helpful in learning data cleaning, data manipulation and data visualization. Newer library of plotly was something very new to me. while practizing with the dataset I got to know the pros of using plotly (simple, clear and interactive plots). Overall the coverage of the course with dataset from various industries and their problem set was very comprehensive and I think would match the industry scenario well. Also, I learned a whole new plethora of methods that are being called on class objects which I wasn't familiar with before taking this course.Thanks for your support in Q&A as well.- Abhishek Gajbhiye
What You’ll Learn
End-to-end Data Analytics Projects using real datasets
Data cleaning, data manipulation, and Data visualization using Pandas, NumPy, Matplotlib, Seaborn & Plotly etc..
How to apply Data Analytics for business decision-making
Turning messy data into meaningful insights
How to build a Data Analyst Portfolio that impresses recruiters
Why This Course Is Different ?
You’ll work on real-world Data Analytics and Data Analysis Projects, not toy datasets.
Learn complete workflows: Business requirement , importing, cleaning, merging, analyzing, and visualizing data.
Ideal for beginners to intermediate learners — only basic Python knowledge is needed.
Learn both technical skills and business problem-solving — a true Data Analyst mindset!
Who Should Enroll ?
Beginners who want to start a career in Data Analytics
Professionals who want to use Python for Data analysis
Business managers who want to make data-driven decisions
Students preparing their Data Analyst project portfolio
Can you start right now?
A frequently asked question of Python Beginners is: "Do I need to become an expert in Python coding before I can start working on Data Analytics Projects ? "
The clear answer is: "No!
You just require some Python Basics like data types, simple operators, lists and numpy arrays that you can learn from my Free Python course 'Basics Of Python'
Start your journey today and become a confident Data Analyst with real-world project experience.