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Data Analytics with AI – Earners: Build Job-Ready Skills and Start Your Analytics Career

Data Analytics with AI – Earners is an 8-month industry-focused programme designed to help you master Excel, SQL, Python, Power BI, Tableau, Statistics, and AI tools. Through live classes, practical projects, and portfolio building, you develop the skills required for entry-level analytics roles.
authorImageNeha Tanna11 Jul, 2026
Data Analytics with AI – Earners

Businesses today rely heavily on data to improve decisions, understand customers, and drive growth. However, many aspiring professionals struggle to identify the right learning path that combines analytics fundamentals with modern AI tools. 

Data Analytics with AI – Earners is designed to bridge this gap by helping you develop practical analytical skills, work on real-world projects, and build a portfolio that prepares you for entry-level roles in the analytics industry.

Data Analytics with AI – PW Earners Course Highlights

The table below highlights the key details of the programme, including duration, class schedule, validity, certification, and learning format.

Attribute

Details

Batch Name

Data Analytics with AI – Earners

Brand

PW Earners

Category

Data Analytics

Course Type

Data Analytics with AI

Delivery Mode

Live

Duration

8 Months

Batch Starts

19 June 2026

Batch Ends

19 February 2027

Validity

Till 19 June 2027

Classes

Friday, Saturday & Sunday

Frequency

3 Classes/Week

Certificate

Yes

Refund

No Refund

What Is Data Analytics with AI – Earners?

Data Analytics with AI – Earners is an 8-month live training program designed to help you build strong analytical and technical skills for entry-level data roles.

Here is what the program includes:

  • Master Excel, SQL, Python, Power BI, and Tableau

  • Explore AI tools for modern analytics workflows

  • Work on practical business projects and dashboards

  • Develop a portfolio showcasing your skills

  • Prepare for interviews and entry-level analytics opportunities

The course starts on 19 June 2026 and runs till 19 February 2027, with live classes conducted 3 times a week.

Why You Should Learn Data Analytics with AI 

AI is increasingly becoming a valuable part of modern analytics workflows, enabling professionals to analyse information faster, automate repetitive tasks, and generate insights more efficiently.

In this course, you will learn how AI helps you in:

  • Generating SQL queries quickly

  • Cleaning and organising data

  • Automating reports

  • Improving dashboards

  • Writing insights and summaries

  • Boosting productivity in analytics workflows

This means you become not just a data analyst, but a modern AI-powered analyst.

Skills You Will Learn (Step-by-Step)

This course is designed to take you from beginner to job-ready level. Here is what you will gain:

1. Excel for Data Analysis

  • Data entry and cleaning

  • Pivot tables and dashboards

  • Advanced formulas and functions

  • XLOOKUP and INDEX-MATCH

  • Excel-based reporting

2. SQL for Databases

  • Writing SQL queries

  • Joins and constraints

  • Data extraction and filtering

  • Customer analytics projects

3. Statistics for Analytics

  • Mean, median, mode

  • Standard deviation

  • Probability and correlation

  • Business statistics concepts

4. Python for Data Analytics

  • Python basics

  • NumPy and Pandas

  • Data visualization

  • Business data analysis

5. Power BI & Tableau

  • Dashboard creation

  • Data modeling

  • DAX in Power BI

  • Interactive Tableau dashboards

  • Executive reporting

6. AI for Data Analytics

  • ChatGPT for analysts

  • AI-powered SQL generation

  • AI reporting tools

  • Prompt engineering for analytics

  • AI dashboard support

Real-World Projects You Will Work On

You don’t just learn theory, you build real analytics projects that you can show to employers.

You will work on:

  • Sales performance dashboard

  • Customer segmentation analysis

  • HR analytics dashboard

  • E-commerce data analysis

  • Executive reporting dashboards

  • Interactive Power BI and Tableau projects

These projects help you build a strong analytics portfolio that increases your job chances.

Career Opportunities After This Course

After completing Data Analytics with AI – Earners, you can apply for multiple entry-level roles such as:

  • Data Analyst

  • Business Analyst

  • BI Analyst

  • Reporting Analyst

  • MIS Analyst

  • Data Visualisation Specialist

  • Power BI Developer (Entry Level)

  • Tableau Developer (Entry Level)

  • Marketing Analyst

  • Operations Analyst

The demand for data professionals is increasing across industries like finance, marketing, healthcare, IT, and e-commerce.

What Makes This Programme Different

Unlike basic Excel or Power BI courses, this program gives you a complete analytics ecosystem.

Here’s what makes it powerful for you:

  • You learn full-stack data analytics (Excel → SQL → Python → BI tools)

  • You apply AI in every stage of analytics

  • You build industry-ready dashboards and reports

  • You get career preparation support

  • You work on real business case studies

  • You build a professional portfolio

The programme focuses on helping you understand how analytical tools are applied to solve practical business challenges.

Data Analytics with AI – Earners is a complete job-oriented program designed to help you become a skilled data professional. With training in Excel, SQL, Python, Power BI, Tableau, statistics, and AI tools, you build both technical and business intelligence skills.

Instead of learning tools separately, you follow a dedicated roadmap that takes you from basics to advanced analytics and career readiness.

If you want to enter the growing field of data analytics, build a strong portfolio, and work with real-world datasets, this course gives you everything you need to start your journey confidently.

 

FAQ

Is Data Analytics with AI Earners suitable for beginners?

Yes, this course is designed for complete beginners. You do not need any coding or technical background to start learning data analytics.

Which tools will I learn in this course?

You will learn Excel, SQL, Python, Power BI, Tableau, Statistics, and AI-powered analytics tools for real-world data analysis.

How is AI used in Data Analytics in this course?

AI is used for SQL generation, data cleaning, report writing, dashboard support, and automation to make analytics faster and more efficient.
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