Description

 Course Description:

This certified course in Analysis and Visualization equips learners with the essential skills to extract insights from data and present them effectively using cutting-edge tools and techniques. The course covers the complete data analysis workflow—from data acquisition and cleaning to advanced visualization techniques that drive business decisions.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Analysis and Visualization:

• Business Intelligence Analyst
• Data Visualization Specialist
• Market Research Analyst
• Operations Analyst
• Product Analyst
• Reporting Analyst

Essential Skills you will Develop Analysis and Visualization:

• Data Cleaning & Preparation
• Exploratory Data Analysis
• Data Visualization Techniques
• Statistical Analysis
• Data Interpretation
• Dashboard Creation

Tools Covered:

• Microsoft Excel / Google Sheets
• Data cleaning, pivot tables, charts, statistical functions.
• Python (with libraries like Pandas ,Sea born,)
• Data manipulation, visualization, statistical analysis.
• R Programming (ggplot2)
• Statistical analysis and high-quality plots.

Syllabus:

Module 1: Introduction to Data Analysis Understanding data types and structures
Introduction to the data analysis process Exploratory vs. confirmatory data analysis
Tools used for data analysis (Excel, Python, R, Power BI).

Module 2: Data Collection and Cleaning Data sources: internal, external, APIs
Data cleaning techniques Handling missing values and outliers Data validation and transformation.

Module 3: Statistical Foundations Descriptive statistics (mean, median, mode, std. dev.) Inferential statistics basics Probability distributions Hypothesis testing and p-values.

Module 4: Data Visualization Principles Importance of visual storytelling Choosing the right chart types Design best practices: color, layout, and clarity Common mistakes to avoid in dashboards.

Module 5: Excel for Data Analysis PivotTables and Pivot Charts Lookup functions (VLOOKUP, INDEX-MATCH) Conditional formatting and dashboards Data analysis tool and Solver.

Module 6: Python for Analysis & Visualization Data analysis with Pandas and
Visualization using  and Seaborn Exploratory Data Analysis (EDA) Real-world data projects.

Module 7: Power BI Fundamentals Data import and data modeling Creating and customizing dashboards Using DAX for calculations Publishing and sharing reports.

Module 8: Advanced Visualization Techniques Interactive dashboards
Drill-down and drill-through reports Time series and trend analysis Geographic and heat map visualizations.

Module 9: Case Studies and Industry Applications Business analysis (sales, marketing, HR) Finance and operations dashboards Healthcare, retail, and manufacturing data cases Interpreting data insights for decision-making.

Module 10: Capstone Project & Certification End-to-end data analysis and visualization project Peer review and feedback Presentation of insights to stakeholders Final assessment and certification.

Industry Projects:

• Retail Sales Dashboard Customer Churn Analysis
• Customer Churn Analysis
• Healthcare Patient Data Visualization
• Stock Market Trend Analysis

Who is this program for?

• Students and Fresh Graduates
• Working Professionals
• Business Analysts and Managers

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com