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Data Analytics Accelerator: No-Code Mastery - Learnees

Data Analytics Accelerator: No-Code Mastery

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Data Analytics Accelerator: No-Code Mastery

Data Analytics Accelerator is a comprehensive, no-code program designed for professionals and aspiring analysts to master data analysis using accessible tools like Power BI Desktop (free), Excel Online, and Google Sheets, enhanced with integrated AI capabilities and generative AI tools. This course emphasizes practical skills in data cleaning, transformation, visualization, dashboard creation, and AI-assisted reporting without requiring programming knowledge or paid software subscriptions. It prepares learners for data-driven roles in India’s dynamic market by providing job-ready, in-demand skills.

Trainer :

LiveOnline Classstarts on:

Upto First 3 session - 100% Refund

1. Foundations & AI in Analytics

Topics:

Introduction to data analytics
types of data
roles in analytics
tool overview
AI in data analytics

Hands-on:

Exploring datasets in Excel and Power BI Desktop

Skills You Will Learn:

Data literacy
understanding analytics roles
AI basics in analytics

2. Data Cleaning & Preparation

Topics:

Data quality issues
cleaning techniques in Excel & Google Sheets
AI-assisted anomaly detection

Hands-on:

Cleaning messy sales and customer data; using AI tools for validation

Skills You Will Learn:

Data cleaning
validation
leveraging AI for cleaning assistance

3. Data Transformation & Pivot Tables

Topics:

Power Query basics
formula-driven transformations
pivot tables basics and advanced features

Hands-on:

Summarizing sales and product data using pivot tables

Skills You Will Learn:

Data transformation
summarization
interactive reporting with pivot tables

4. Advanced Excel & Visualization Fundamentals

Topics:

Formulas
lookup functions
conditional formatting
chart selection and dashboard creation

Hands-on:

Building Excel dashboards and visual reports in Google Sheets

Skills You Will Learn:

Advanced Excel skills
effective visualization techniques
dashboard assembly

5. Power BI Basics & AI Features

Topics:

Connecting data sources
creating visuals
Power BI AI visuals

Hands-on:

Building interactive dashboards with AI visuals in Power BI Desktop

Skills You Will Learn:

Power BI report creation
AI-powered insights generation

6. Advanced Power BI & AI Analytics

Topics:

Relationships
DAX basics
AI-driven drill-throughs
anomaly detection

Hands-on:

Creating in-depth
AI-enhanced sales and marketing reports

Skills You Will Learn:

Advanced Power BI modeling
incorporating AI for analysis depth

7. Generative AI for Analytics

Topics:

Using generative AI for data interpretation
narrative generation
and query assistance

Hands-on:

Drafting data summaries and business insights with AI assistance

Skills You Will Learn:

AI-assisted storytelling
automation of report writing

8. Reporting & Decision Support

Topics:

KPI tracking
designing stakeholder reports
AI-generated forecasting and summaries

Hands-on:

Real-world case study analysis
collaborative reporting

Skills You Will Learn:

Designing actionable reports
interpreting KPIs
working in collaborative environments

9. Capstone Project - AI-Augmented Analytics

Topics:

Dataset selection
problem definition
dashboard and report development with AI insights

Hands-on:

Build and iterate AI-enhanced dashboards; peer review

Skills You Will Learn:

End-to-end project execution
AI-integrated analytics
presentation skills

10. Presentation & Future Directions

Topics:

Presentation skills
AI’s evolving role in analytics
continuous learning strategies

Hands-on:

Final project presentations and feedback

Skills You Will Learn:

Effective communication
applying AI trends
preparing for analytics careers

4.5

Google Reviews

4.6

G2 Reviews

4.7

Sitejabber Reviews

Choose Your Perfect Learning Schedule

Flexible batches designed to fit your lifestyle. Select the timing that works best for you.

Schedule Batches

MAR 6^th

Online/Offline

MON - FRI

Dur: 3 Months

14:30 PM to 16:00 PM (IST)

Class Type: Weekday

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Upto First 3 session - 100% Refund

Why Choose Data Analytics Accelerator: No-Code Mastery?

Why enroll for Data Analytics Accelerator: No-Code Mastery Certification?

Unlock your potential in cloud computing with Data Analytics Accelerator: No-Code Mastery certification

Most Popular Certification

Data Analytics Accelerator: No-Code Mastery certification is rated as one of the most popular and lucrative cloud certifications in IT globally.

Growing Market

The global Data Analytics Accelerator: No-Code Mastery market size is expected to grow at a CAGR of 21.2% from 2024 to 2030.

High Salary Potential

The estimated total pay for an Data Analytics Accelerator: No-Code Mastery is ₹7,09,000 per year, with an average salary of ₹6,09,000 per year - Glassdoor.

analytics fundamentals and analytics workflow understanding

Data cleaning preparation and validation using no-code techniques

Advanced Excel formulas

Pivot tables

conditional formatting

Creating interactive

AI-enhanced dashboards and reports in Power BI Desktop

Data visualization principles and data storytelling tailored to business needs

Using generative AI for data insights

reporting assistance

Collaborative data work using Google Sheets

Critical thinking in interpreting AI-driven analytics

Curriculum Designed by Experts

1. Foundations & AI in Analytics

Topics:

Introduction to data analytics
types of data
roles in analytics
tool overview
AI in data analytics

Hands-on:

Exploring datasets in Excel and Power BI Desktop

Skills You Will Learn:

Data literacy
understanding analytics roles
AI basics in analytics

2. Data Cleaning & Preparation

3. Data Transformation & Pivot Tables

4. Advanced Excel & Visualization Fundamentals

5. Power BI Basics & AI Features

6. Advanced Power BI & AI Analytics

7. Generative AI for Analytics

8. Reporting & Decision Support

9. Capstone Project - AI-Augmented Analytics

10. Presentation & Future Directions

Free Career Counselling

We are happy to help you 24/7

1. Foundations & AI in Analytics

Topics:

Introduction to data analytics
types of data
roles in analytics
tool overview
AI in data analytics

Hands-on:

Exploring datasets in Excel and Power BI Desktop

Skills You Will Learn:

Data literacy
understanding analytics roles
AI basics in analytics

2. Data Cleaning & Preparation

Topics:

Data quality issues
cleaning techniques in Excel & Google Sheets
AI-assisted anomaly detection

Hands-on:

Cleaning messy sales and customer data; using AI tools for validation

Skills You Will Learn:

Data cleaning
validation
leveraging AI for cleaning assistance

3. Data Transformation & Pivot Tables

Topics:

Power Query basics
formula-driven transformations
pivot tables basics and advanced features

Hands-on:

Summarizing sales and product data using pivot tables

Skills You Will Learn:

Data transformation
summarization
interactive reporting with pivot tables

4. Advanced Excel & Visualization Fundamentals

Topics:

Formulas
lookup functions
conditional formatting
chart selection and dashboard creation

Hands-on:

Building Excel dashboards and visual reports in Google Sheets

Skills You Will Learn:

Advanced Excel skills
effective visualization techniques
dashboard assembly

5. Power BI Basics & AI Features

Topics:

Connecting data sources
creating visuals
Power BI AI visuals

Hands-on:

Building interactive dashboards with AI visuals in Power BI Desktop

Skills You Will Learn:

Power BI report creation
AI-powered insights generation

6. Advanced Power BI & AI Analytics

Topics:

Relationships
DAX basics
AI-driven drill-throughs
anomaly detection

Hands-on:

Creating in-depth
AI-enhanced sales and marketing reports

Skills You Will Learn:

Advanced Power BI modeling
incorporating AI for analysis depth

7. Generative AI for Analytics

Topics:

Using generative AI for data interpretation
narrative generation
and query assistance

Hands-on:

Drafting data summaries and business insights with AI assistance

Skills You Will Learn:

AI-assisted storytelling
automation of report writing

8. Reporting & Decision Support

Topics:

KPI tracking
designing stakeholder reports
AI-generated forecasting and summaries

Hands-on:

Real-world case study analysis
collaborative reporting

Skills You Will Learn:

Designing actionable reports
interpreting KPIs
working in collaborative environments

9. Capstone Project - AI-Augmented Analytics

Topics:

Dataset selection
problem definition
dashboard and report development with AI insights

Hands-on:

Build and iterate AI-enhanced dashboards; peer review

Skills You Will Learn:

End-to-end project execution
AI-integrated analytics
presentation skills

10. Presentation & Future Directions

Topics:

Presentation skills
AI’s evolving role in analytics
continuous learning strategies

Hands-on:

Final project presentations and feedback

Skills You Will Learn:

Effective communication
applying AI trends
preparing for analytics careers

Career Opportunities

Job roles are being prepared for this course. Please check back later.

Why Choose The Skills Lab

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24x7 Support

One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time

Hands-On Project Based Learning

Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments

Industry Recognised Certification

Learnees Training Certificate
Graded Performance Certificate
Certificate of Completion

Course Overview

Everything you need to know about Data Analytics Accelerator: No-Code Mastery

Understand core data analytics concepts and the role of no-code tools in deriving insights Use Microsoft Power BI Desktop (free), Excel Online, and Google Sheets for data cleaning, transformation, visualization, and dashboard creation Leverage AI-powered features within these tools for enhanced data quality checks, automated insights, and predictive analytics Apply generative AI tools to assist in data storytelling, report writing, and business communication Develop job-ready skills to independently handle data analytics projects without programming Communicate data-driven findings effectively to stakeholders using interactive reports and dashboards Collaborate using cloud-based tools for data sharing and joint analysis