| Course Name | Duration | Classes | Total Fee | Mode of Training | Class Timing |
|---|---|---|---|---|---|
|
Pandas Analysis
Course |
3 Months |
60 |
60,000 PKR |
Online & Face-to-Face |
To be decided mutually with students |
Pandas Analysis Training Certification Course
- PANDAS course teaches data handling. It helps to clean, organize, and analyze data. You learn to work with tables easily.
- It is a Python-based library. It makes data work simple and fast. You can use it in coding and projects.
- You learn data cleaning skills. It removes wrong or missing data. This makes your data ready to use..
- It helps in data analysis. You can find patterns and trends. It helps in making smart decisions.
- You learn to handle big data. It can manage large files easily. This saves time and effort.
- It is useful for many jobs. Data analysts and scientists use it. It improves your career skills.
- After the course, you get a certificate. It shows your data skill knowledge. It helps you grow in your field.
Advantages of Learning Pandas Analysis
- It helps you learn how to handle and analyze data easily. You can clean, sort, and organize big data in simple ways. It makes your work faster and smarter.
- You understand how to use Python for data tasks. It connects coding with real data problems. You feel more confident in using Python tools.
- It improves your job and career skills. Many companies need people with Pandas knowledge. It gives you a strong base for data-related jobs.
- You can make graphs and reports quickly. It helps you show data in a clear visual form. This makes your projects look professional.
- It teaches you to save time with data automation. You can do big tasks in just a few lines of code. It reduces errors and increases accuracy.
- It helps in learning advanced data science tools later. Pandas is the first step toward machine learning. It builds a solid path for future learning.
- It gives you a recognized certification. You can show your skill to employers easily. It adds great value to your professional profile.
Pandas Analysis Training Certification Course Outline
This course will teach you how to use the Pandas library in Python. You will learn how to handle and organize data easily. It will help you clean, sort, and analyze data for real projects. By the end, you will earn a certificate showing your Pandas skills.
Module 1: Introduction to Pandas
Learn what Pandas is and why it’s useful.
Used for handling data in Python.
Easy to work with tables and numbers.
Helps clean and manage big data easily.
Module 2: Installing & Importing Pandas
Learn how to install Pandas in Python.
Use “import pandas as pd” to start.
Check version and setup your workspace.
Practice small examples in Jupyter or VS Code.
Module 3: Series in Pandas
Series is a one-dimensional data structure.
It works like a list with labels.
Learn to create, index, and slice a Series.
Practice adding and updating values.
Module 4: DataFrame Basics
DataFrame is a table with rows and columns.
Learn how to make one from lists or dictionaries.
Understand index and column names.
Display and explore data easily.
Module 5: Reading and Writing Data
Learn to read CSV, Excel, or JSON files.
Use
read_csv()andto_csv()functions.Save your data after cleaning it.
Practice loading real-world datasets.
Module 6: Data Selection and Indexing
Use
.loc[]and.iloc[]to find data.Select specific rows and columns.
Filter data using conditions.
Understand how indexing works
Module 7: Data Cleaning and Handling Missing Data
Identify missing or wrong data.
Use
fillna()anddropna()functions.Replace values and fix errors.
Keep your data ready for analysis.
Module 8: Data Sorting and Filtering
Sort data by values or columns.
Filter rows using logical conditions.
Remove duplicates if needed.
Organize data for clear results.
Module 9: Data Grouping and Aggregation
Use
groupby()to group data.Apply sum, mean, and count on groups.
Combine data to get useful summaries.
Helpful for analyzing large datasets.
Module 10: Merging, Joining, and Concatenation
Combine multiple DataFrames together.
Use
merge(),join(), andconcat().Match data using keys or indexes.
Create one big table from small ones.
Module 11: Data Visualization with Pandas
Create charts using
.plot()function.Show data as bar, line, or pie charts.
Visualize patterns and trends easily.
Save graphs for reports or dashboards.
Module 12: Certification & Final Project
Revise all Pandas topics quickly.
Complete a real-world data project.
Submit your analysis report or notebook.
Earn your Pandas Certification proudly.
Experience and Inspiring Trainers:
Real-time Practice and Projects:
Understanding of variables, data types, loops, functions, and file handling.
Prerequisites for Pandas Analysis Course:
- You should know how to use a computer. Typing and saving files must be easy for you. Simple internet use is also helpful.
- You must know a little bit of Python. Like writing print statements and loops. It helps you understand PANDAS easily.
- You should enjoy working with data. Like arranging numbers or making tables. Curiosity about data is important.
- Know simple math like add or divide. Use logic to solve small problems. It helps you think like a data analyst.
- You should know how to open Excel. Understand rows and columns clearly. It helps while working with datasets.
- You must have a working laptop or PC. A stable internet is needed for classes. So you can practice and learn smoothly.
- Be ready to explore new commands. Don’t worry about mistakes while learning. Practice daily to grow your skills.
- No prior experience in Pandas is required, but having these basics will help in grasping concepts faster.
Certificate:
Course Material:
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