Advanced Diploma in Data Analytics

Hands-on learning Data Analytics through Real Business Projects and Placement Support 

In Collaboration with

Data analytics

Start a New Career in
6 - 12 Months

Get
IBM Certificate

1:1 Placement
Mentorship

300+ Hiring
Partners

Build job-ready skills for roles such as Data Analyst, Business Intelligence Analyst, Marketing Analyst, Operations Analyst, and Financial Data Analyst. 

Course Overview

Advanced Diploma in Data Analytics

The Advanced Diploma in Data Analytics is an intensive 6-month advanced course designed to develop industry-ready professionals with strong expertise in data interpretation, business intelligence, and predictive analytics. Learners build hands-on proficiency in Excel analytics, SQL for analytics, Python, statistical analysis, and data visualization while working with advanced analytics tools such as Power BI, Tableau, R, AWS, and SPSS across real business environments. 

 

Through real-world projects, capstone implementations, and industry-led mentorship, this advanced diploma in data analytics bridges the gap between analytical concepts and practical business execution. Learners build portfolio-ready dashboards, analytics case studies, and reporting projects using real business datasets. With dedicated placement assistance, this data analytics course with placement prepares graduates for high-demand roles such as Data Analyst, Business Intelligence Analyst, Marketing Analyst, Operations Analyst, and Financial Data Analyst across industries.

 

Program Duration
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Who Should Enroll

Who Should Take Advanced Diploma in Data Analytics

This job-oriented data analytics certification course is designed for diverse career stages, from fresh graduates to working professionals. 

Who This Course Is Ideal For

Graduates seeking to begin a career in data science and AI domains.

Early-stage professionals (like aspiring BI analysts) aiming to transition into analyst roles through a structured data analyst course.

Working professionals (like MIS professionals) looking to add data analytics training and reporting skills to their current roles.

Professionals from non-technical backgrounds moving toward business data analytics course career paths.

Independent learners seeking structured, hands-on, industry-focused analytics training.

Minimum Eligibility & Required Knowledge

Bachelor's degree from any stream or equivalent qualification.

Basic understanding of mathematics, statistics, and familiarity with spreadsheets is helpful.

No prior coding experience required; concepts are taught from foundational to applied levels.

Ready to get started ?

Talk to one of our career advisors and find out if this program is right for you

Curriculum

Curriculum of Our Advanced Diploma in Data Analytics

Technical Training
Non-Technical Training

Advanced Diploma in Data Analytics

Industry-focused data analytics, business intelligence, and reporting certification program.

01 Excel Basic to Advanced
02 Data Toolkit
03 Data Analytics
04 Statistics
05 Data Wrangling with SQL
06 Data Visualization with Tableau
07 Visualization with Power BI
MODULE 1

Excel Basic to Advanced

Build the analytical floor of this data analytics certification course with Excel, the foundational tool for data handling, analysis, and reporting in any business environment. You will progress from basic formulas and formatting to PivotTables, advanced functions, statistical analysis, and Power Query for data cleaning and shaping, building strong excel analytics capability. 

Tools Covered:
  • Microsoft Excel
  • PivotTables, PivotCharts
  • VLOOKUP, INDEX, MATCH, array formulas
  • Power Query, Macros and VBA basics
MODULE 2

Data Toolkit

Develop an overview of the data ecosystem and the tools data professionals use. You will learn data types, sources, quality, and ethics, get introduced to databases, analytics tools, visualization platforms, and cloud data systems, building the foundation for all advanced analytics work ahead. 

Tools Covered:
  • Excel, Google Sheets
  • Database concepts (DBMS, SQL overview)
  • Python, R introduction
  • Cloud platforms (AWS, Azure, GCP awareness)
MODULE 3

Data Analytics

Move into the core methodologies of analytics and problem-solving. You will work with the full data analysis process, descriptive, diagnostic, predictive, and prescriptive analytics, KPI analysisexploratory data analysis, and learn to interpret and communicate findings through reporting and insights. 

Tools Covered:
  • EDA techniques
  • KPI identification frameworks
  • Trend, comparative, and segmentation analysis
  • Data interpretation and communication
MODULE 4

Statistics

Develop the statistical foundation required to interpret data and draw valid conclusions. You will work with descriptive and inferential statistics, distributions, hypothesis testing, confidence intervals, correlation, regression, and probability used to support reliable data interpretation. 

Tools Covered:
  • Descriptive and inferential statistics
  • Hypothesis testing (t-tests, ANOVA, chi-square)
  • Correlation and regression
  • Probability concepts
MODULE 5

Data Wrangling with SQL

Master the language every analyst needs. You will work with SQL for analytics, writing SELECT queries, filtering and sorting, aggregate functions, joins, subqueries, CTEs, and window functions used to extract, manipulate, and prepare data from relational databases. 

Tools Covered:
  • SQL, MySQL, PostgreSQL
  • Joins, subqueries, CTEs
  • Aggregate and window functions
  • Data transformation and cleaning
MODULE 6

Data Visualization with Tableau

Learn to turn analysis into compelling visuals. You will work with Tableau to connect data sources, build chart types, create calculated fields, design interactive analytics dashboards, and apply data storytelling principles to communicate insights to stakeholders. 

  • Tableau
  • Calculated fields, parameters, hierarchies
  • Dual-axis charts, maps, dashboards
  • Interactive actions and filters
MODULE 7

Visualization with Power BI

Master Microsoft's leading business intelligence platform. You will build Power BI dashboards, model data with relationships and DAX, create interactive reports with drill-down features, and publish to the Power BI Service for collaborative business reporting and dashboard creation. 

Tools Covered:
  • Microsoft Power BI, DAX
  • Data modeling and relationships
  • Interactive dashboards and reports
  • Power BI Service and publishing

Advanced Diploma in Data Analytics

Industry-focused data analytics, business intelligence, and reporting certification program.

01 English Communication & Grammar
02 Mock Interviews
03 Corporate Etiquette
04 Aptitude
MODULE 1

English Communication & Grammar

Build the communication foundation that every professional setting demands. You will cover grammar, vocabulary, verbal and written communication, non-verbal cues, public speaking, and professional etiquette, finishing with practical application exercises and a framework for continuous improvement.

What You Will Learn:
  • Basics of Communication
  • Grammar and Vocabulary
  • Verbal Communication Skills
  • Written Communication
  • Non-verbal Communication
  • Confidence and Public Speaking
  • Professional Communication Etiquette
  • Practical Application
  • Continuous Learning
MODULE 2

Mock Interviews

Prepare for every angle an interviewer can throw at you. This practice assessment module runs you through real interview simulations across multiple question typesso nothing catches you off guard on the day. 

What You Will Learn:
  • Personal Introduction
  • Technical Skills
  • Problem-Solving
  • Behavioral Insights
  • Industry Knowledge
  • Hypothetical Scenarios
  • Soft Skills
MODULE 3

Corporate Etiquette

Learn how professionals actually conduct themselves at workfrom the boardroom to the lunch table to the exit interview. You will cover every situation a workplace throws at you before you are in it. 

What You Will Learn:
  • Making the Most of Meetings
  • Dressing Right for the Workplace
  • Being Respectful and Thoughtful at Work
  • Keeping Your Workspace Clean and Organized
  • Using Technology Responsibly
  • Dining with Manners in Professional Settings
  • Building Relationships Through Networking
  • Best Practices for Virtual Meetings and Online Communication
  • Managing Your Time and Meeting Deadlines
  • Understanding and Respecting Cultural Differences
  • Leaving a Job Gracefully
MODULE 4

Aptitude
  • Sharpen the quantitative and logical reasoning skills that appear in every hiring assessment. You will work through problem types that test numerical ability, analytical thinking, and pattern recognition, building both speed and accuracy under test conditions. 
IBM | Industry Partnership

Industry Partnership Courses Offered in Association with IBM

The PG Diploma in Business Analytics Next-Gen AI includes add-on programs offered in collaboration with IBM. These programs feature guided labs delivered through the IBM Learning Management System, enabling hands-on experience in analytics, AI, and cloud-based technologies. With real-world, case-driven learning aligned to industry standards, learners gain practical exposure to data analytics, machine learning, and AI applications. Backed by IBM’s global credibility, these IBM analytics certifications strengthen employability and prepare professionals for high-demand roles in analytics and AI-driven business environments.

IBM Modules

Prompt Engineering Essentials

Generative AI Models for Natural Language (NLP & NLU)

Introduction to Cognos Analytics

Data Analysis & Visualization with IBM Tools

IBM Guided Labs

Build an AI-Powered Assistant using Generative AI

Analyze Business Trends with Interactive Dashboards

Market Basket Analysis for Customer Insights

Predictive Analytics for Business Decision-Making keep yhen in tabular form

Tools & Technolog

Tools You Will Learn in Advanced Data Analytics Tools You'll Master Through Our Course

In our data analytics certification course, you will master advanced analytics toolsbusiness intelligence platforms, and reporting systems widely used across industries. From excel analytics and SQL for analytics to Power BI dashboards and Tableau data visualization, plus Python and cloud data platforms, the tool stack reflects what 2026 hiring managers actually screen candidates for. Through hands-on training, real-world projects, and practical business use cases, you will develop the technical expertise and problem-solving skills required to work in modern data analytics and business intelligence environments. 

Microsoft Excel
SQ
MySQ
PostgreSQL
Python
Pandas
NumPy
Matplotlib
Seaborn
Tableau
Microsoft Power BI
AWS
Amazon S3
Google BigQuery
Azure Data Lake
SPSS
Jupyter Notebook
Google Sheets
Curriculum

Skills You Will Learn in Our Advanced Diploma in Data Analytics

Excel Analytics
Exploratory Data Analysis
Tableau Reporting
Business Reporting
SQL for Analytics
Statistical Analysis
Dashboard Creation
Data Interpretation
Python for Analytics
Data Visualization
KPI Analysis
Data Storytelling
Data Wrangling
Power BI Dashboards
Predictive Analytics
Capstone Project Execution
Curriculum

Certification You Will Earn

Upon completing the Advanced Diploma in Data Analytics, you will receive a globally recognized data analytics certification from Win In Life Academy, accredited by the Educational Board of Vocational Training and Research. This data analytics certification course validates your practical skills in excel analyticsSQL for analyticsdata visualization, statistics, and business intelligencedemonstrating to employers that you have genuine, hands-on capability across the full analytics workflow. 

Win In Life Academy Certificat

Globally recognized diploma certificatio

IBM Module Certification

Prompt Engineering, Cognos Analytics, Generative AI & IBM lab

Data Analytics

Note:

To secure your Advanced Diploma in Data Analytics certificate, you must successfully complete the data analytics training from Win in Life Academy.

Placement Support

The Win In Life Placement Mentorship Program

At Win In Life Academy, we see every learner as a future professional in the making. Our Placement Mentorship Program is built to personally guide, nurture, and mould them through every stage of their journey, mentoring each student into a confident, capable professional ready to build a successful career in the current industry.

Assess Your Knowledge & Prepare for Interviews

Learners work closely with trainers to evaluate their understanding of core concepts and identify areas that need improvement. This phase bridges course learning with interview readiness through structured evaluations, technical skills training, and non-technical mock preparation. With continuous trainer guidance and performance tracking, learners revise their technical understanding, get tips for communication, and build confidence to perform effectively in technical and HR interviews.

Knowledge Assessment Sessions
Technical Mock Preparation
Non-technical Mock Preparation
Articulation Skill Training
Confidence Building Sessions
Weekly Evaluation & Scorecard
Concept Revision Sessions
Key Support:
Identify Knowledge Gaps
Targeted Interview Prep
Personalized Feedback
Role/Industry Based Question Drills
HR Style Mock Interview
Soft-skill Evaluation
Role-play Interview Exercises
Continuous Performance Monitoring
Recap of Technical Concepts
illustration

Understand Career Roles and Develop Your Profile

In this phase, learners are given a detailed view of the placement process, and expectations are set. They gain clarity on real-world data science career roles, eligibility requirements for different job functions in the IT and related domain, companies that are hiring, and what will be the career path for each of the roles. Guided by trainers, learners get an opportunity to develop their resumes for specific data science job roles. They also get support for optimizing LinkedIn profiles. The process ensures that every learner is strategically positioned for suitable job opportunities and equipped to present a strong professional profile.

Career Roles Briefing
Placement Process Expectation Setting
Resume Preparation Support
LinkedIn Optimization Support
Eligibility Checks for Roles
Profile Positioning Guidance
Additional Upskilling Assistance
Key Support:
Career Path Understanding
Placement Timelines Overview
Identifying Suitable Roles
Developing Resume for Roles
LinkedIn Profile Building
Professional Branding Tips
Industry Insights
Interview Readiness Support
illustration

Apply for Roles and Attend Interviews

In this phase, learners transition from preparation to real-world opportunities. The Placement Team actively maps each candidate’s profile to suitable job openings, briefs them on role expectations, and provides personalized coaching for upcoming interviews. Through one-on-one guidance, employer coordination, and structured feedback after every interaction, learners gain practical exposure to hiring processes and the confidence to perform effectively. The placement team continues to support ongoing placement efforts and ensures every learner remains connected until successfully placed.

Check Job Opportunities
Mapping Profile to Roles
Job Description Briefing
Role Application Process
1:1 Interview Coaching
Interview Scheduling & Coordination
Post-placement Assistance
Key Support:
Curated Job Listings
Daily Updates on Opportunities
Profile to Role Matching Support
Job Application Guidance
Resume Submission Support
Personalized Interview Coaching
Employer Coordination
Interview Follow-up Support
illustration

Data Analytics Role this Course Prepares You For

Data Analyst

Business Intelligence Analyst

Marketing Analyst

Operations Analyst

Financial Data Analyst

Data Visualization Analyst

What Our Students Say

Sharmistha Malakar

The training at WILA empowered me with confidence, real-world skills, and career clarity.

Sharmistha Malakar

Manupriya M

WILA's hands-on training and mentorship helped me grow professionally and gave me career direction.

Manupriya M

Paramanandhan

The comprehensive training and supportive environment at WILA gave me the tools to succeed.

Paramanandhan

Sooryagayathri Sujith

WILA's career-focused training transformed my approach to learning and made me job-ready.

Sooryagayathri Sujith

Kuncham Vasanth Kumar

WILA's structured training process helped me build practical skills and confidently approach job opportunities.

Kuncham Vasanth Kumar

Tejavath Renuka

The supportive training environment at WILA enhanced my skills and gave me the confidence to excel.

Tejavath Renuka

Rupa Choudhury

WILA’s training and placement support helped me gain confidence and prepare effectively for real job opportunities.

Rupa Choudhury

Pranamya P Gunaga

The mentorship and structured approach at WILA helped me stay focused and prepare consistently for opportunities.

Pranamya P Gunaga

Mahesh Babu

WILA’s career preparation process guided me step-by-step, making the transition from learning to interviews much smoother.

Mahesh Babu

Subha Jeyabalan

WILA helped me stay disciplined throughout training and approach interviews with better clarity and confidence.

Subha Jeyabalan

Vara Prasad

The training environment at WILA pushed me to improve consistently and prepare seriously for job opportunities.

Vara Prasad

Tools & Technolog

Why Choose WILA for Advanced Diploma in Data Analytics

This course is designed for diverse career stages — from fresh graduates to seasoned
professionals

Globally Accredited Programs

IBM Add-on Courses

1:1 Placement Mentorship

72% placed within 6 Months

Industry-Aligned Curriculum

Real-World Projects

Industry Expert Mentors

Flexible Learning Modes

Curated Job Opportunities

FAQ

Frequently Asked Question (FAQs)

Ready to Transform Your Career

Join hundreds of professionals who launched their careers in digital marketing and AI with Win In Life Academy

Is this the best data analytics certification course in India for freshers?

This is a job-oriented data analytics certification course in India designed for freshers and career switchers. It focuses on practical skills, real-world projects, and placement mentorship aligned with current hiring trends. 

In India, entry-level data analytics salaries typically range between ₹3.5–7 LPA. Candidates with strong Power BI dashboards, portfolios, and interview preparation tend to secure higher packages. 

The duration of this data analytics certification course is 6 months and fees depends on the course fees at the time of enrollment which is subject to change. Please talk to our course counsellors for more detailed information on course fees. 

This is a support-based data analytics course with placement assistance. You receive mentorship, resume building, and interview preparation, but placement depends on your performance. 

No prior coding experience is required. This data analytics training starts from Excel and SQL for analytics basics and builds up to Python, statistics, and Power BI dashboards, making it suitable for beginners. 

This data analyst course includes real-world projects like analytics dashboardsKPI analysisexploratory data analysis, and a capstone covering data wrangling to dashboard creation and business reporting. 

This business data analytics course covers Excel, SQL, Python, R, Tableau, Power BI, AWS, BigQuery, and SPSS used in real industry workflows for data visualization and predictive analytics. 

Yes, you will receive a data analytics certification validating your skills in data interpretationbusiness intelligencedata visualization, and analytics reporting. 

Yes. This data analytics certification course covers excel analyticsSQL for analyticsPower BI dashboards, and Tableau for data visualization, plus statistics and Python. The program is structured as a complete advanced diploma in data analytics with hands-on practical exposure to dashboard creation and reporting and insights frameworks. 

Our Advanced Diploma in Data Analytics is available in Bangalore, Chennai, and Hyderabad, with both offline and hybrid learning options to suit different schedules of our learners. 

The Win In Life Placement Mentorship Program

Industry-aligned programs with placement mentorship, IBM certification & real-world projects.

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