Data Analysis with Python
Learn to Turn Data into Decisions
Class will start from Sunday to Saturday : 11:00 AM to 7:30 PM
Feature list of our course
Why Learn Data Analysis with Python at PixelZ?
100% Python-Oriented: Everything is taught in Python. From data cleaning to visualization to Exploratory Data Analysis (EDA) – all with Python libraries.
Learn by Doing
20+ real datasets, 15+ mini-projects, and 2 capstone projects on sales, finance, and marketing data.
Beginner Friendly
No prior coding experience needed. We start from Python fundamentals and slowly move to advanced analysis.
Industry Tools Covered
Hands-on training on Jupyter Notebook, Pandas, NumPy, Matplotlib, Seaborn, and basics of SQL for data handling.
Portfolio Ready Projects
Build a GitHub portfolio that recruiters actually check – with EDA reports, dashboards, and insights.
Doubt Support & Mentorship
Live doubt sessions and 1:1 mentorship from working data analysts, not recorded bots.
Certification of Completion
Obtain an industry-recognized Data Analysis with Python course certification that makes you a more desirable candidate for employers and clients.
What you will learn in this course
Python for Analysis
You will start with Python essentials needed for data work – data types, loops, functions, and how to work with files. Then you will master NumPy for numerical computing.
Data Manipulation with Pandas
You will learn how to import data from CSV, Excel, and web sources, clean messy data, handle missing values, filter, sort, groupby, and merge datasets like a pro analyst.
Data Analysis & Statistics with Python
You will learn exploratory data analysis (EDA), descriptive statistics, correlation, outlier detection, and how to find meaningful patterns from raw data using Python.
Data Visualization in Python
You will learn to create powerful charts and dashboards using Matplotlib and Seaborn – line plots, bar charts, heatmaps, histograms, and pair plots that tell a story.
Real-World Case Studies
Finally, you will apply everything on real business problems – sales trend analysis, customer segmentation, and performance reporting – completely in Python.
Course Details
Duration : 12 Months (240 hrs.) | Class : Twice a Week | Class time : Flexible
Python Basics
- Basic Concepts (Operators, Datatype, Variables, Functions & Methods)
- Loops and Decision Making
- Functions
- Basic OOPs Concept
- Python Modules and Packages
- Advance Python
SQL and Python
Statistics Overview
- Probability
- Distributions
- Statistics
- Anova
- Chi Square Analysis
Python for Data Analysis
- Python: Environment Setup and Essentials
- Data Analysis- Numpy
- Data Analysis — Pandas
- Pandas Exercise
- Numpy Exercise
Python for Data Visualization
- Matplotlib
- Seaborn
- Data Visualization with Pandas
- Data Visualization – Geographical Plotting
- Time Series Analysis
Extra Perks
Industry Based Projects
Who is this course for
- Complete Beginners Who Want to Start with Python - You have never coded before but want to enter the data field. We start from zero – Python basics to Pandas – step by step, with simple language and real examples.
- Students & Freshers Looking for a Career in Data Analytics - If you are from BCA, BSc, BBA, Commerce, or any non-tech background and want to become a Data Analyst, this course gives you the exact Python skills companies ask for – data cleaning, EDA, and visualization.
- Working Professionals Who Deal with Excel & Reports - You already work with Excel, sales data, or business reports and want to shift to Python for faster and smarter analysis. Learn how to automate your daily reporting with Python instead of doing it manually.
- Aspiring Data Analysts & Python Learners - You have learned some Python but don't know how to use it for real-world analysis. Here you will learn how to use Python libraries like Pandas, NumPy, Matplotlib, and Seaborn to analyze and visualize actual business datasets.
- Freelancers & Job Seekers Who Need a Portfolio - You want to build a strong portfolio with real Python projects. This course gives you GitHub-ready projects on sales analysis, customer data, and market trends that you can show to recruiters.
Trusted by Hundred of Students
I’m a former student of Graphic Design from PixelZ Education. In 2022, I took admission in this course. The environment of this Institute is very much comfortable to learn. Really experienced faculty & they are most supportive. I can blindly say that this course is literally amazing. After completed this course I joined as a Graphic Designer in a reputed Company. Thank you so much to the entire team for the wonderful job.
Tanashya Biswas
Hi, My name is Moumita Dey student of Digital Art from PixelZ Education. I took admission in this course on March, 2022 and all of the students are very humble and as well teacher, who is guide and philosopher also. This course helps me for calling this as my profession and opened a new page in my future. Those people who are thinking about their future career and looking for suitable job, I recommended them to get admission at PixelZ. Thank you.
Moumita Dey
I joined this institute to take training for Web Design. My overall experience is very good. The guidance during the training given by our Sir helped me a lot. If you’re searching for good web designing institute then go for it… you will be thankful to me…
Shimon Bhattacharya
Hi, My name is Moumita Dey student of Digital Art from PixelZ Education. I took admission in this course on March, 2022 and all of the students are very humble and as well teacher, who is guide and philosopher also. This course helps me for calling this as my profession and opened a new page in my future. Those people who are thinking about their future career and looking for suitable job, I recommended them to get admission at PixelZ. Thank you.