Accelerator Program in  Business Analytics and Data Science

Unlock your path to a global career in Data Analytics with hands-on experience, practical case studies, cutting-edge skills, and a powerful portfolio built from scratch. Master the tools, techniques, and strategies that top companies demand and position yourself for success in the fast-growing field of data analytics.

Start your transformation today!

At Digital Maven, we provide industry-relevant training to empower you in the data-driven world. Our data analytics course offers hands-on learning and real-world applications, ensuring you gain the knowledge and tools to excel in this fast-growing field.

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Accelerate Your Career with AI-Powered Data Analytics in Just – 6 Months

Our Methodology

The “LEARN” Methodology:

Leverage Tools

Emphasize the use of industry-relevant tools like Excel, Power BI, Python, and MySQL to manage, visualize, and analyze data effectively.

Explore Concepts

Dive deep into the concepts of business statistics, data visualization, machine learning, and analytics to build a strong foundation.

Apply Knowledge

Focus on applying the learned concepts through hands-on projects, case studies, and real-world scenarios.

Refine Skills

Continuously refine technical and analytical skills by practicing advanced techniques, solving complex problems, and receiving instructor feedback.

Network & Engage

Engage with peers, industry experts, and instructors through discussions, webinars, and collaborative projects to enhance learning and build a professional network.

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
Data Analytics

Statistical Insights on Business Analytics and Data Science with Al

67%
Of Companies

Using data analytics to improve their business outcomes.

80%
of executives

Believe that data analytics is critical to their company’s success.

$1
trillion increase

Al in data analytics is predicted to drive a $1 trillion increase in eco- nomic value by 2030

59%
Of organizations

View data analytics as a key driver of competitive advantage.

10-20%

Al-driven analytics:

Organizations leveraging Al-driven ana- Lytics see a 10-20% increase in produc- tivity and a 5-10% increase in revenue.

The global business analytics market

Expected to reach $130 billion by 2027, growing at a 10.5% CAGR.
Data Analytics

Statistical Insights on Business Analytics and Data Science with Al

67%
Of Companies

Using data analytics to improve their business outcomes.

80%
of executives

Believe that data analytics is critical to their company’s success.

$1
trillion increase

Al in data analytics is predicted to drive a $1 trillion increase in eco- nomic value by 2030

59%
Of organizations

View data analytics as a key driver of competitive advantage.

10-20%

Al-driven analytics:

Organizations leveraging Al-driven ana- Lytics see a 10-20% increase in produc- tivity and a 5-10% increase in revenue.

The global business analytics market

Expected to reach $130 billion by 2027, growing at a 10.5% CAGR.

The demand for Data Science professionals is rapidly increasing

By 2026, more than 90% of businesses anticipate that Data Science and Analytics will play a crucial role in their strategic decision-making.

0+
Data Scientists
0+
Business Analyst
0+
Data Analyst
0+
Data Engineer
0+
Marketing Analyst
0+
Operations Analyst
0+
Data Consultant
0+
Statistician

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

Tools You Will Learn

Learn 20+ Data Analytical Tools

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

Course Roadmap

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 (Importing data in Power Query, Power Query features, cleaning and transforming data in Power Query, Advanced Excel functions

Introduction to Power BI, data connection in Power BI, filters – visual level, page level, and report level, data cleaning in Power BI, report building using Power BI, DAX expression in Power BI, Dashboard in Power BI

Introduction to Natural Language Processing, Feature Engineering on Text data, Text processing using DTM, Unigram, Bigram analysis, Sentiment Analysis using Vader, Document classification techniques, Natural Language Processing using Machine Learning

Introduction to Consumer Analytics, STP – Segmentation, Targeting and Positioning in Marketing, Application of Consumer Analytics – Customer Segmentation using RFM, Marketing Basket Analysis, Cohort analysis, Propensity model for customer churn, Sales Dashboard Creation

Basic of Business Statistics, Fundamentals of Descriptive Statistics, Measures of central tendency, Types of data distribution, Confidence Interval, Hypothesis testing- T-Test, Z-test, One way ANOVA

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

Introduction to Cloud Computing, Types of Cloud services, Introduction to Azure ML services, Creating ML Workflow,  Performing AutoML in Azure, Writing code in Azure ML

Introduction to Financial Analytics, Applications of Financial analytics – Fraud Transaction Detection, Customer Profiling, Credit Worthiness, Stock Market Analysis: Risk and Return, Financial Dashboard Creation

Introduction to SQL, SQL table, field, records, constraints, data types, and operators. Introduction to Workbench, creating, using and dropping databases, creating, using and dropping tables, inserting records in tables, importing CSV files, SQL query commands- select, where, where with AND, OR, IN, LIKE, BETWEEN, LIMIT, ORDER, GROUPBY, DISTINCT, UPDATE and DELETE.

Introduction to Machine Learning, Data Preprocessing for Machine Learning, Multiple Linear Regression, Classification, Logistic Regression, Evaluation techniques for Regression and Classification, and Building ML models in Python. Introduction to Unsupervised Learning, Clustering Analytics

Agile Fundamentals, Traditional Models vs Agile methods, Agile Manifesto, Introduction to Scrum Concept, Agile in Project Management, User Stories

History of AI, Traditional AI vs Gen AI, Types of AI, Neural Network Fundamentals, Prompt Engineering

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 Online Classes

Accelerator Program in – Business Analytics and Data Science

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.

Why Trust Us?

01.

Gain a competitive edge with our Data Analytics Certification in a fast-growing field.

02.

100+ hours of hands-on training with expert-led sessions and real-world projects.

03.

Acquire industry-relevant skills highly sought after by employers.

04.

Master data handling, visualization, and advanced analytical tools.

05.

Be job-ready upon course completion with practical skills.

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.

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