The Data Analyst Certification Program by Manisha Solanki is a comprehensive, industry-aligned training designed for students and professionals aiming to build a career in data analytics. This course equips learners with practical skills in Excel, SQL, Power BI, and Tableau, focusing on real-world datasets, dashboard creation, and business problem solving.

Ideal for aspiring data analysts, business intelligence professionals, and corporate learners, the program emphasizes hands-on learning, job readiness, and portfolio development.

What Students Will Learn

Foundations of Data Analytics & Excel (Weeks 1–2):
- Introduction to Data Analytics and lifecycle
- Understanding business problems and requirements
- Excel basics: formulas, formatting, sorting, filtering, conditional formatting
- Data cleaning concepts and hands-on exercises
Advanced Excel for Analytics (Weeks 3–4):
- Advanced formulas: XLOOKUP, IF, INDEX-MATCH
- Pivot Tables and Pivot Charts
- Power Query for ETL (data transformation)
- KPI creation and dashboard design
- Hands-on: Sales performance dashboard, interactive reporting
SQL for Data Analysis (Weeks 5–7):
- SQL fundamentals, SELECT queries, joins, subqueries
- Aggregations, GROUP BY, window functions, CTEs
- SQL-based data cleaning techniques
- Hands-on: Customer & sales analysis, interview-oriented problem solving
Power BI (Weeks 8–10):
- Power BI Desktop, data import, connectivity, and modeling
- DAX measures, time intelligence, and advanced visualizations
- Creating interactive dashboards, slicers, and drill-through reports
- Hands-on: End-to-end Power BI dashboards, KPI monitoring
Tableau for Visualization & Storytelling (Weeks 11–12):
- Tableau interface, data connections, charts, maps, dashboards
- Calculated fields, parameters, LOD expressions, dashboard interactivity
- Hands-on: Executive-level Tableau dashboards, story-based analytics
Real-World Case Studies (Weeks 13–14):
- Analytics in retail, finance, marketing, HR
- Business insights and recommendation presentations
- Hands-on: Case study analysis and reporting
Capstone Project & Career Preparation (Weeks 15–16):
- End-to-end capstone project
- Portfolio creation, resume, and LinkedIn optimization
- Mock interviews for Excel, SQL, Power BI, and Tableau
- Hands-on: Capstone project presentation and Q&A sessions

Teaching Method

The course is delivered online, combining live instructor-led sessions and practical exercises:

Emphasis on hands-on projects and real-world data
Interactive sessions for queries, doubt resolution, and guidance
Job-oriented approach with a capstone project and portfolio development

Why This Tutor

Manisha Solanki brings industry-focused, structured teaching, guiding learners to translate business problems into actionable insights using analytics tools. Her approach ensures students are job-ready and confident in applying analytics skills professionally.

Ideal for aspiring data analysts, business intelligence professionals, and corporate learners, the program emphasizes hands-on learning, job readiness, and portfolio development.

What Students Will Learn

Foundations of Data Analytics & Excel (Weeks 1–2):
- Introduction to Data Analytics and lifecycle
- Understanding business problems and requirements
- Excel basics: formulas, formatting, sorting, filtering, conditional formatting
- Data cleaning concepts and hands-on exercises
Advanced Excel for Analytics (Weeks 3–4):
- Advanced formulas: XLOOKUP, IF, INDEX-MATCH
- Pivot Tables and Pivot Charts
- Power Query for ETL (data transformation)
- KPI creation and dashboard design
- Hands-on: Sales performance dashboard, interactive reporting
SQL for Data Analysis (Weeks 5–7):
- SQL fundamentals, SELECT queries, joins, subqueries
- Aggregations, GROUP BY, window functions, CTEs
- SQL-based data cleaning techniques
- Hands-on: Customer & sales analysis, interview-oriented problem solving
Power BI (Weeks 8–10):
- Power BI Desktop, data import, connectivity, and modeling
- DAX measures, time intelligence, and advanced visualizations
- Creating interactive dashboards, slicers, and drill-through reports
- Hands-on: End-to-end Power BI dashboards, KPI monitoring
Tableau for Visualization & Storytelling (Weeks 11–12):
- Tableau interface, data connections, charts, maps, dashboards
- Calculated fields, parameters, LOD expressions, dashboard interactivity
- Hands-on: Executive-level Tableau dashboards, story-based analytics
Real-World Case Studies (Weeks 13–14):
- Analytics in retail, finance, marketing, HR
- Business insights and recommendation presentations
- Hands-on: Case study analysis and reporting
Capstone Project & Career Preparation (Weeks 15–16):
- End-to-end capstone project
- Portfolio creation, resume, and LinkedIn optimization
- Mock interviews for Excel, SQL, Power BI, and Tableau
- Hands-on: Capstone project presentation and Q&A sessions

Teaching Method

The course is delivered online, combining live instructor-led sessions and practical exercises:

Emphasis on hands-on projects and real-world data
Interactive sessions for queries, doubt resolution, and guidance
Job-oriented approach with a capstone project and portfolio development

Why This Tutor
Manisha Solanki brings industry-focused, structured teaching, guiding learners to translate business problems into actionable insights using analytics tools. Her approach ensures students are job-ready and confident in applying analytics skills professionally.

Benefits / Outcomes

After completing the program, learners will be able to:

Perform end-to-end data analysis using Excel, SQL, Power BI, and Tableau
Build interactive dashboards and visual reports
Apply SQL for analytics and data-driven decision making
Solve real-world business problems and present insights
Complete a capstone project demonstrating practical expertise
Gain confidence and readiness for Data Analyst roles

This program ensures learners develop comprehensive, practical, and industry-relevant data analytics skills.

Perform end-to-end data analysis using Excel, SQL, Power BI, and Tableau
Build interactive dashboards and visual reports
Apply SQL for analytics and data-driven decision making
Solve real-world business problems and present insights
Complete a capstone project demonstrating practical expertise
Gain confidence and readiness for Data Analyst roles

This program ensures learners develop comprehensive, practical, and industry-relevant data analytics skills.

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