AI Powered  Data Analytics

Get years ahead in just 3 months through practice-based learning and real-world projects.

Start your transformation today!

Why do you need Data Analytics Certification?

  • The global demand for data professionals is rising, with data analytics roles expected to grow by 25% in the next five years.
  • Key sectors like e-commerce, finance, healthcare, and manufacturing are driving this need.
  • Investment in data-driven decision-making has increased by 30%, boosting demand for certified experts.
Global Demand 25% in Rise
Rise 25% in Next 5 Years
Key Sectors
e-commerce, Finance, Healthcare, manufacturing
Investment
In data-driven decision making rise by 30% boosting demand for certified experts

What You will Learn

Modules

Excel formula and functions
Data connections in Microsoft Excel Data
Summarisation using Pivot table
Data Modelling using Power Pivot
Data Preprocessing using Power Query

Introduction to SQL
SQL table, field, records, constraints, data
types
Operators In SQL
Introduction to Workbench
Creating, using and dropping databases
Creating, using and dropping tables
Inserting records in tables
Importing CSV files, Concepts of Joins

Structures
Data Visualization and
Reporting
Power BI
Introduction to Power BI
Data connection in Power BI
Data cleaning in Power BI
Report building using Power BI
DAX expression in Power BI
Dashboard in Power BI

Introduction to Python Environment
Introduction to Jupyter Notebook
Variables in Python
Data structures in Python
Data Types in Python
Data wrangling using pandas package
Introduction to matplotlib

Bonus Modules

Introduction to R – Programming
Installation and Basics of R Programming
ETL and Statistical Analysis
Data Visualization with ggplot2

Introduction to Machine Learning
Data Preprocessing for Machine Learning
Building ML Models in Python
Introduction to Supervised and
Unsupervised Learning

AI For Excel
AI For Visualization
AI For Database Management
AI For Machine Learning

Tools You Will Learn

Learn 20+ Data Analytical Tools

Our Mentors

Srinivas Prabhu

Founder Digital Maven

Srinivas Prabhu

I’m a growth strategist, EdTech entrepreneur, and AI evangelist on a mission to bridge the gap between education and industry.

Mahidhara S

CTO Digital Maven

Mahidhara S

As a versatile Business and Data Analyst, I excel at turning complex data into actionable insights that drive business growth and strategic decisions. With expertise in Python, SQL, Power BI, Tableau, and R Programming, I bring a strong technical acumen to data analysis, dashboard automation, and business intelligence. 

Chitransh Srivastava

Founder Aro Labs

Chitransh Srivastava

Hi there! I’m an AI/ML Engineer specializing in large language models and intelligent systems, currently working as Head of AI at Aro Labs.

Positioning you for success

We are dedicated to equipping our learners with the right opportunities in the rapidly expanding Data Science field, providing them with comprehensive career preparation and personalized interview support.

Business Analytics

Data Engineering

Data Analytics

Business Intelligence

Prompt Engineering

Data Visualization

Data Science

Database Administration

Practical Solutions Focused on Career Growth

Job Opportunities

Post-certification, you’ll be equipped to take on roles such as:

Companies across industries like retail, banking, healthcare, and technology are actively seeking professionals with expertise in data analytics.

Data Analyst

Business Analyst
Data Scientist (Entry-Level)
Business Intelligence Analyst
Reporting Analyst

Realtime Projects

promotion run over Indian festivals to understand their effectiveness and make data driven decisions for the next promotional period.

Learn how retail giants use advanced analytics to predict demand and optimize inventory levels, reducing overstock and stockouts.

Build a personalized music recommendation engine using real-world Spotify data. This case study dives into how machine learning algorithms like collaborative filtering and content-based filtering can be used to suggest songs based on user preferences, listening habits, and music attributes.

Learn how to extract meaningful insights from AirBnB’s listings and bookings data. This case focuses on data-driven storytelling to identify the most popular destinations, pricing trends, and factors influencing customer satisfaction, helping hosts optimize their property listings.

Understand how to analyze consumer purchase patterns on rapid delivery platforms. This case study involves using association rule mining and market basket analysis to identify frequently bought product combinations, enabling platforms to optimize inventory and bundle offers.

Perform an exploratory analysis on Uber ride data to uncover key patterns such as peak hours, high-demand locations, and fare pricing trends. This case teaches students to leverage data visualization and statistical techniques to improve cab allocation and reduce wait times

Implement machine learning techniques to detect fraudulent transactions in a financial dataset provided by American Express. The case study covers feature engineering, model selection, and evaluation to build a robust fraud detection system that minimizes false positives.

Utilize visualization techniques to analyze OTT platform data and understand content preferences across genres, languages, and viewer demographics. This case study explores how to create dashboards that provide actionable insights for content acquisition and production strategies.

To achieve operational excellence in identifying on time delivery and the turn around time for a B2B retail business.

Examine the performance of digital marketing campaigns using clickstream and purchase data. This case study highlights the use of data to assess ROI, customer segmentation, and the attribution of marketing channels to conversions.

Live Offline Classes

AI Powered – Data Analytics

Offerings

  • Live Sessions

  • Recorded Content

  • Project/ Assignments
  • Community Support
  • Offline Events
  • Certifications
  • Addon Modules

    • 100+ practice Quetion Module
    • LinkedIn Optimization Module
    • Mastering Generative AI Data
    • Generative AI for Tech Professionals
    • Career Transition Support Including 1to1 Mentor Support

Career Accelerator Service

Job Assistance

Career Support

Get help with resume building, interview preparation, & job placement.

Networking Opportunities

Connect with fellow learners and industry professionals.

LinkedIn Profile Building

Optimise LinkedIn profiles for better networking & Personal Branding career opportunities.

Placement Assistance

Get 100% Placement Assistance with International Freelancing opportunities.

Gear up for transformative learning experiences!

Master data analysis

Transform raw data into actionable insights and compelling visuals to drive informed business decisions.

Build a strong foundation

Learn predictive modeling, data exploration, and machine learning to solve various business challenges effectively.

Acquire interdisciplinary expertise

Engage in hands-on exercises and industry projects, addressing real-world data issues to foster innovation.

Strengthen strategic decision-making

Apply mathematical and statistical models in marketing, finance, and operations for data-driven business insights.

Here’s everything you may ask…

Frequently Asked Questions:

This Data Analytics program is designed for aspiring data analysts, students, graduates, business analysts, current data professionals, career switchers, technical professionals, entrepreneurs, consultants and a wide range of professionals. Whether you are looking to start a new career, upskill, or leverage data analytics and AI in your current role, this program provides comprehensive training to help you achieve your goals.

Our application process begins with a comprehensive form designed to understand your background and aspirations. Completing this form is the first step toward joining our exclusive program.

We are looking for proactive, enthusiastic, and serious candidates who are committed to making a significant career transition and 100% dedication to learning.

There are no specific requirements to join our program. All you need is a hunger to learn and basic computer skills, including the ability to use Excel. We will teach you everything else you need to know during the course.

This is a live session program, call with a dedicated mentor will happen on timing decided by running a poll in the whatsapp group. Once done, the timing will be fixed for the rest of the course.

Data Analytics Career Accelerator Program is designed to work with your schedule because we run polls in the cohort before setting the time. We strongly encourage you to attend the Live sessions, as it’s an opportunity to validate/resolve your top burning questions with an expert. Of course, you can always watch the session recordings and participate in discussions or leave your feedback on our community forum.

At least 5-7 hours per week with hands-on practice, for the 24 weeks of the program.

Individuals who successfully complete their 80% course work i.e. cover all learning modules & project submissions, are eligible to receive a Certificate of Completion from Digital Maven which acts as a seal of trust for your proof of work under the guidance of industry leaders.
Apply Today, Seats are filling fast!

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