Manisha Solanki

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

by Manisha Solanki

Experience: 6 Yrs

The Data Analyst Certification Program by Manisha Solanki is a comprehensive, industry-aligned training designed for students and professionals aiming to build a <...

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Course Mode:

Online

Duration:

4 months

Language:

English

Location:

Mumbai

Pricing:

160 INR Per hourly

Batch Type:

Weekdays and Weekend

Course Experience:

6 Years

Tutor Experience:

6 Years

Course Content

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.

Skills

  • Microsoft Excel
  • SQL
  • Tableau
  • Power BI
  • Advanced Excel (with Formula and Macro)
  • Vlookup, Pivot Table
  • Sql Query Writing
  • Mysql
  • Power Bi Dashboard
  • Analytical Packages (ms-excel, Ms-power Bi)

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What Students Are Saying

The instructor explained the concepts very clearly. I really enjoyed the course.

Amit Sharma

This course was very informative and helped me understand the topic better.

Priya Das

I liked the structure of the lessons and the examples used were very practical.

Rohan Mehta

FMG-2.0😎

SRV

Manisha Solanki

Manisha Solanki

Experience: 6 Yrs