Data Analyst

A Data Analyst Program is designed to equip learners with the skills needed to collect, clean, analyze, and visualize data for making data-driven decisions. This program is suitable for students, working professionals, and beginners looking to enter the field of data analytics.

📌 Data Analyst Program Structure

1. Introduction to Data Analytics (Week 1-2)

✅ Understanding Data Analytics & Its Applications

✅ Role of a Data Analyst

✅ Basics of Data Collection & Data Types

✅ Introduction to Spreadsheets (Excel/Google Sheets)

2. Data Handling & Preprocessing (Week 3-4)

✅ Data Cleaning & Formatting Techniques

✅ Handling Missing Data & Duplicates

✅ Introduction to SQL – Querying Databases

✅ Working with CSV, JSON, and API Data

3. Exploratory Data Analysis (EDA) (Week 5-6)

✅ Descriptive Statistics (Mean, Median, Mode, Standard Deviation)

✅ Data Visualization with Matplotlib & Seaborn (Python) or Power BI & Tableau

✅ Identifying Trends & Patterns in Data

✅ Using Pivot Tables & Charts in Excel

4. Advanced Analytics & Business Intelligence (Week 7-8)

✅ SQL Joins, Subqueries & Aggregation Functions

✅ Advanced Excel – Macros & Data Analysis ToolPak

✅ Introduction to Business Intelligence (BI) Tools

✅ Introduction to Python for Data Analysis (Pandas & NumPy)

5. Machine Learning Basics for Data Analysts (Week 9-10)

✅ Introduction to Predictive Analytics

✅ Basics of Machine Learning (Supervised vs Unsupervised Learning)

✅ Implementing Simple Models with Scikit-Learn

✅ Data-Driven Decision Making

6. Real-World Projects & Case Studies (Week 11-12)

✅ Hands-on Project: Analyzing Business Data

✅ Case Study on Market Trends & Customer Insights

✅ Resume Building & Portfolio Creation

✅ Mock Interviews & Job Readiness Training

📊 Tools & Technologies Covered

📌 Excel & Google Sheets – Data Handling & Analysis

📌 SQL – Querying Databases (MySQL, PostgreSQL)

📌 Python – Pandas, NumPy, Matplotlib, Seaborn

📌 Power BI & Tableau – Data Visualization

📌 Jupyter Notebook & Google Colab – For Python-based Analytics

📝 Learning Methods & Assessments

✅ Hands-on Projects & Assignments

✅ Live Case Studies & Industry Examples

✅ Group Discussions & Peer Reviews

✅ Online Tests & Certification

📅 Program Duration & Mode

🎓 Duration: 3 Months (Flexible based on learner needs)

💻 Mode: Online