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Diploma in Data Analytics and AI

Unlock your potential with DizitalAdda’s Diploma in Data Analytics and AI. This comprehensive 12-month program is designed for complete beginners, transforming you into an intermediate professional ready to extract insights, build compelling dashboards, and apply essential AI/ML concepts to real-world business challenges.

  • 100% Placement Support
  • Practical Projects
  • Hybrid Learning
  • Expert Mentorship

Let's Discuss What You Want

I want to know what's latest in market

Duration: 12 Months / 288 Hours Mode: Hybrid (Online + Offline) 100% Placement Guarantee Rating: 4.9 ★ (926 ratings) Level: Beginner Friendly

Key Skills Covered

Excel Power Query Macros Data Validation Pivot Tables Dashboard Design Power BI Desktop Data Modeling DAX Advanced Visualizations Interactive Reports Power BI Service MySQL PostgreSQL SQL SELECT Queries JOINs GROUP BY Window Functions Database Design Python Fundamentals Pandas Data Manipulation Data Cleaning Data Preprocessing Matplotlib Seaborn Plotly Python Automation Descriptive Statistics Inferential Statistics Hypothesis Testing t-tests Exploratory Data Analysis (EDA) Correlation Statistical Reporting Machine Learning Supervised Learning Linear Regression Logistic Regression Decision Trees Random Forests Predictive Modeling Model Evaluation Clustering Retail Analytics E-commerce Analytics Financial Analytics Marketing Analytics HR Analytics Business Process Automation Portfolio Development Capstone Project Technical Interview Preparation Behavioral Interview Preparation Resume Optimization LinkedIn Optimization Data Storytelling

Build Skills That Companies Are Looking For

Our curriculum is designed to match real industry needs, so you're job-ready for roles at companies like TCS, Wipro, Google, and Infosys.

TCS Wipro Google Microsoft Infosys

*Companies mentioned are examples of industry relevance. Logos shown for aspirational and educational purposes only.

Course Modules

Foundation & Excel Mastery

  • Excel formulas & functions
  • Pivot tables & charts
  • Data organization techniques
  • Data modeling basics
  • Task automation in Excel
Excel Functions Data Modeling Pivot Tables Data Cleaning Chart Visualization

Power BI / Tableau & Data Visualization

  • Interactive dashboards design
  • Clear visual storytelling
  • Data source integration
  • Dynamic report creation
  • Insights through visuals
Power BI Tableau Data Dashboards Data Integration Visual Analytics

SQL for Data Analysis

  • Data querying basics
  • Filtering and joining data
  • Aggregation techniques
  • Data transformations
  • Advanced SQL reporting
SQL Queries Data Aggregation Data Filtering Joins & Subqueries SQL Reporting

Python for Data Analysis

  • Pandas for data analysis
  • Data cleaning & automation
  • Plotting with Python tools
  • NumPy for fast computing
  • Python scripting basics
Pandas NumPy Data Preprocessing Data Visualization Python Automation

Statistics & Advanced Analytics

  • Statistical analysis methods
  • Predictive modeling skills
  • Regression techniques
  • Correlation analysis
  • Hypothesis testing tools
Statistics Predictive Analytics Regression Analysis Hypothesis Testing Data Interpretation

Capstone Projects & Career Preparation

  • Build portfolio projects
  • End-to-end capstone work
  • Resume & profile review
  • Career coaching support
  • Interview preparation
Portfolio Development Capstone Projects Resume Building Job Preparation Interview Readiness

Machine Learning Essentials

  • Introduction to supervised & unsupervised learning
  • Model training & validation
  • Classification & regression models
  • Model performance evaluation
  • Working with Scikit-learn
Machine Learning Supervised Learning Unsupervised Learning Model Evaluation Scikit-learn

Data Engineering Basics

  • Introduction to Big Data tools
  • ETL pipelines with Python
  • Using SQL in large datasets
  • Working with PySpark & data lakes
  • Data quality & transformation
Data Engineering ETL Pipelines PySpark Data Lakes Big Data Handling

Cloud Tools & Model Deployment

  • Model deployment strategies
  • Working with Streamlit & Flask
  • Intro to AWS, GCP & Azure
  • API creation and consumption
  • Hosting dashboards and models
Model Deployment Flask Streamlit Cloud Platforms API Integration

Real-World Case Studies & Business Domains

  • E-commerce & Retail Analytics
  • Healthcare & Financial data case studies
  • Marketing & HR analytics applications
  • End-to-end project lifecycle
  • Storytelling with business insights
Business Analytics Domain Knowledge Retail Analytics Healthcare Analytics Data Storytelling

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What Have We Achieved?

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  • DizitalAdda is a trusted name in tech training, with over 5,000+ successful students and an 85% placement rate. Our hands-on approach and industry-relevant curriculum have helped students land jobs at top companies like Google, Amazon, and Microsoft. We equip learners with the skills needed to excel in the ever-evolving tech world.
  • 500+ students trained in Data Analytics tools : Our learners master Excel, SQL, Python, Power BI, and Tableau — gaining end-to-end expertise in data analysis, automation, and visualization. They’re equipped to solve real-world business challenges with clarity and precision.
  • Strong placement record in analytics roles : Alumni work as Data Analysts, BI Analysts, and Data Scientists. Practical projects include dashboards, predictive models, and data storytelling across domains like business, healthcare, and finance.

Lets Do a Quick Campus Tour!

What Our Learners Say

"This course was a game-changer. The focus on practical tools and actionable insights helped me land my dream job as a Data Analyst!"

— Anjali Sharma, Data Analyst

"It wasn't just about spreadsheets — we learned to transform raw data into clear, impactful visualizations! The hands-on projects made understanding complex concepts so much easier."

— Rahul Verma, Business Intelligence Specialist

"I loved the hybrid mode. I could deepen my skills from home and still get personalized feedback during live, mentor-led workshops."

— Sneha Patel, Jr. Data Analyst

Frequently Asked Questions

Frequently Asked Questions offers quick answers to common queries, guiding users through features effortlessly.

Which certification is best for a data analyst?

The Diploma in Data Analytics Certification Program (1 Year) offers comprehensive training in data analysis, visualization, SQL, and machine learning.

Is data analytics certification worth it?

Yes, it opens opportunities in high-demand fields like tech, healthcare, and finance and builds job-ready skills for data roles.

Can I become a data analyst in 3 months?

You can start learning, but a 1-year course offers deeper knowledge, more tools, and hands-on project experience.

What are the 5 levels of data analytics?

Descriptive, Diagnostic, Predictive, Prescriptive, and Cognitive analytics.

What will I learn in this program?

You'll master Excel, SQL, Python, Power BI, statistics, data cleaning, and more — all with real-world applications.

Is this course suitable for beginners?

Yes. It starts from the fundamentals and progresses to advanced tools and techniques.

What career roles can I pursue after this course?

Roles include Data Analyst, BI Analyst, ML Analyst, Data Visualization Specialist, and more.

What tools will I learn in this course?

Excel, SQL, Python, Tableau/Power BI, R, Scikit-learn, and others.

How can I apply for the course?

Apply through the official website by filling out the application form. The admissions team will assist you.

What is the course format?

100% online with live sessions, recorded videos, quizzes, projects, and mentorship.

What salary can I expect after certification?

Typically between $60,000 and $100,000 annually, with potential for more in advanced roles.

What’s the certification process?

Complete all modules, submit projects, and pass the final exam to receive certification.

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