Data Analysis & Machine Learning Certification

Certification Overview

The Data Analysis & Machine Learning certification by GeeksforGeeks provides practical and theoretical knowledge in analyzing datasets and applying basic machine learning techniques using Python.

Learners gain hands-on experience with libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn, enabling effective data-driven decision-making through real-world projects.

Skills & Topics Covered

Data Analysis with Python (40%)

Data cleaning, transformation using Pandas
Handling nulls, duplicates, and outliers
Data aggregation & summarization

Data Manipulation (25%)

Reshaping, joining, merging DataFrames
Descriptive statistical analysis

Visualization (20%)

Plots using Matplotlib, Seaborn
Charts for trend & correlation insights

Intro to ML (15%)

Basic supervised algorithms
Scikit-learn model building
Evaluation metrics like accuracy

My Learning Journey

Study Phase (4 weeks)

Completed GFG modules on Python, Pandas, and NumPy.

Practice (2 weeks)

Worked on real-world datasets in Jupyter Notebook.

Mini Projects

Analyzed sales and weather data, visualized with Seaborn.

Certification Achieved

Successfully passed with strong command on analysis tools.

Key Learnings & Applications

📊 Python Data Analysis

Manipulated structured data using Pandas and NumPy.

📈 Visualization

Created effective data plots with Matplotlib and Seaborn.

🧹 Preprocessing

Cleaned and transformed data for deeper insights.

🤖 Machine Learning Intro

Built and evaluated basic ML models using Scikit-learn.

Future Applications

Build dashboards and BI reports from raw datasets
Support ML pipeline development and model evaluation
Automate preprocessing tasks for scalable workflows
Work on data-centric internships and research