Course Information
Course Overview
Build 5 Real-World Data Analytics Projects in Python using Pandas & Seaborn to Create a Job-Ready Data Analyst Portfolio
If you want to become a Data Analyst or Data Scientist, the best way to start is by working on real-world Data Analytics Projects.
This course helps you learn Data Analytics using Python, step-by-step, through hands-on projects that simulate real industry problems.
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 and automation
Business managers who want to make data-driven decisions
Students preparing their Data Analyst project portfolio
Real Projects You’ll Build
YouTube Data Analytics Project
Stock Market Analysis 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.
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.
Course Content
- 9 section(s)
- 65 lecture(s)
- Section 1 Welcome to this Course !!
- Section 2 Introduction to Data Analytics
- Section 3 Introduction to Life-Cycle of Data Analytics Project
- Section 4 Project 1 : Text Data Analysis ( Youtube Case-study )
- Section 5 Project 2 : Time Series Project ( S&P 500 Stock Market case-study )
- Section 6 Project 3 : Geospatial Data Analytics Project (Zomato Case-Study)
- Section 7 Project 4 : Sales Data Analysis ( E-commerce Case-study )
- Section 8 Project 5 : IPL Data Analysis (Sports Case-study )
- Section 9 Bonus Session
What You’ll Learn
- Get hired as a Data Analyst and earn up to $156,000 by showcasing 5 Real-World Data Analytics Projects on your resume
- Understand the Data Analytics pipeline — collect , clean, join, filter & analyze data.
- Learn Python for Data Analytics — work with Excel, Text, Time Series & Geographical Data.
- Build Data Analysis Projects using Pie Charts, Bubble Charts, WordClouds, and Maps.
- Master essential Data Analytics libraries — Pandas, Seaborn, Matplotlib, Plotly, Folium, WordCloud, and Geopy
- Gain experience with Data Analyst Projects to solve real business problems.
Skills covered in this course
Reviews
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SSiboniso DIKO
i think i am enjoying the course
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DDigvijay Gowda
Concepts are not much explained
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VVinayak
Your Explanation is very nice , as well as the content of course is good as you have selected the datasets of every aspects , the amazing projects specially the time series and text analysis and sales project
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NNuria Cambronero González
Quite a good course to begin with Python and Jupyter Notebooks. Basic data analysis and visual representation of data, explaining the main Python packages needed. The resources provided are very helpful.