Data Analyst Certification Program – Excel, SQL, Power BI & Tableau by Manisha Solanki

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.

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.

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.