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Diploma in Data Science & AI in Delhi | — 12 Months, 100% Placement

DizitalAdda's 12-Month Diploma in Data Science & AI is a comprehensive, job-oriented program designed for students, graduates, and professionals looking to build a successful career in data science. Rated 4.9/5 by 25,000+ students with a 97% placement rate, the diploma covers Python, SQL, Data Analysis, Power BI, Tableau, Machine Learning, Deep Learning, Big Data, MLOps, and cloud deployment on AWS, Azure, and GCP. Through hands-on projects, portfolio development, paid internship opportunities, industry-recognized certifications, and dedicated placement support, learners gain the practical skills needed to excel in Data Science, AI, and Analytics roles.

  • Python · SQL · Power BI · Tableau · Scikit-learn · TensorFlow · PyTorch · PySpark
  • Big Data engineering: Hadoop, PySpark, Kafka — real-time and batch data pipelines
  • MLOps: MLflow, Docker, CI/CD for ML, automated model monitoring and retraining
  • Cloud deployment on AWS, GCP, and Azure — production-ready data science pipelines
  • Domain capstone project: end-to-end data pipeline + ML model + deployed dashboard
  • 100% placement assistance: technical interviews, GitHub review, 250+ hiring partners

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 Assistance Rating: 4.9 ★ (1043 ratings) Level: Beginner Friendly

Key Skills Covered

Python icon Python SQL icon SQL Data Analysis icon Data Analysis Data Visualization icon Data Visualization Power BI icon Power BI Seaborn icon Seaborn Plotly icon Plotly Machine Learning icon Machine Learning Deep Learning icon Deep Learning Pandas icon Pandas NumPy icon NumPy Scikit-learn icon Scikit-learn TensorFlow icon TensorFlow PyTorch icon PyTorch Big Data icon Big Data PySpark icon PySpark AWS icon AWS GCP icon GCP Azure icon Azure Flask icon Flask FastAPI icon FastAPI Streamlit icon Streamlit Model Deployment icon Model Deployment Git icon Git GitHub icon GitHub Docker icon Docker MLOps icon MLOps Domain-Based Projects icon Domain-Based Projects Capstone Project icon Capstone Project Resume Building icon Resume Building LinkedIn Optimization icon LinkedIn Optimization Interview Preparation icon Interview Preparation

Why Choose Dizitaladda's Diploma in Data Science & AI Course in India

YOUR BENEFITS
01100% Placement Assistance
02Paid In-house Internship
03Real-Life Brand Projects
0410+ Certification
05Lifetime LMS Support
06Affordable Fee Structure
07Updated Course Syllabus (2026)
08Experienced Industry Trainers

Key Highlights

  • 100% Placement Assistance
  • Practical Knowledge of Live Projects
  • Live Classes by Expert Trainers
  • Paid Internship (In-House)
  • 250+ Tie-ups with Recruiters
  • 10+ Certifications
  • Offline | Online Mode of Learning
  • Trained 25000+ Students
  • Mock Interviews
  • Flexible Batches
  • Class Recordings Provided
  • E-Study Material Provided
Contact us

DIGITAL MARKETING COURSE WITH PLACEMENTS

★★★★★ 5.0 — Rated by 25000+ Placed Students

Best Expert Digital Marketing Course
with Placement

Our Expert Digital Marketing Course is designed to deliver real career results, not just certificates. We focus on practical training, live projects, and a structured placement process that prepares students for real industry roles. Students learn to work on tools like Google Ads, Meta Ads, Google Analytics, and SEO platforms, making them job-ready for startups, agencies, and growing businesses.

97% Placement Rate
10.05L Highest CTC
250+ Recruiting partners
25000+ Students Placed

Course Roadmap

What Will You Learn?

Foundation & Setup

  • Data science lifecycle overview
  • Set up Python & Jupyter
  • Master Git and GitHub
  • Terminal & Linux basics
  • Version control workflows
Python Setup Jupyter Notebooks Git & GitHub Linux Commands Version Control

Data Manipulation & Analysis

  • Use NumPy & Pandas
  • Clean & transform datasets
  • Handle missing values
  • EDA with visual insights
  • Merge and encode data
NumPy Pandas Data Cleaning EDA Data Wrangling

Statistics & Machine Learning Foundations

  • Understand statistical concepts
  • Learn hypothesis testing
  • Use regression algorithms
  • Apply scikit-learn models
  • Intro to supervised learning
Statistics Hypothesis Testing Linear Regression Logistic Regression Scikit-learn

Advanced Machine Learning

  • Master ensemble methods
  • Use SVM for classification
  • Tune models effectively
  • Explore unsupervised learning
  • Detect anomalies in data
Random Forest XGBoost SVM Model Tuning Clustering

Deep Learning & Neural Networks

  • Understand neural networks
  • Build models with TensorFlow
  • Use CNNs for images
  • RNNs for sequence data
  • Work with PyTorch
Deep Learning TensorFlow PyTorch CNN RNN

Natural Language Processing & Big Data

  • Preprocess text data
  • Perform sentiment analysis
  • Use topic modeling
  • Intro to Spark & Hadoop
  • Process real-time NLP
NLP Text Classification Topic Modeling Big Data Tools Real-time Processing

Cloud Computing & Deployment

  • Deploy with Flask/FastAPI
  • Use Docker containers
  • Deploy to AWS/GCP/Azure
  • Monitor ML apps live
  • Scale ML solutions
Model Deployment Flask FastAPI Docker Cloud Platforms

Advanced Topics & Specialization

  • Forecast time-series data
  • Explore recommendation systems
  • Learn computer vision basics
  • Intro to reinforcement learning
  • Understand ethical AI
Time-Series Recommender Systems Computer Vision Reinforcement Learning AI Ethics

Business Intelligence & Advanced Visualization

  • Build BI dashboards
  • Use Tableau & Power BI
  • Automate reporting tasks
  • Visual storytelling skills
  • Link data with KPIs
Power BI Tableau Data Storytelling Automation KPI Analysis

Capstone Project Development

  • Define real-world problem
  • Collect and clean data
  • Build end-to-end model
  • Write project documentation
  • Present project findings
Project Planning Data Collection Model Building Documentation Presentation Skills

Major Projects & Portfolio Building

  • Build domain-specific projects
  • Follow agile methodology
  • Host projects on GitHub
  • Create portfolio website
  • Document case studies
Portfolio Projects GitHub Agile Workflow Web Hosting Technical Documentation

Placement Preparation & Career Development

  • Prepare for interviews
  • Solve mock problems
  • Resume & LinkedIn polish
  • Mock interviews practice
  • Career mentorship sessions
Interview Skills Mock Testing Resume Building LinkedIn Optimization Career Coaching

Digital Marketing Skills That You'll Learn

Performance Marketing
Programmatic Advertising
Search Engine Optimization
Search Engine Marketing
Copywriting & Creative Thinking
Problem Solving
CV and Interview Prep
Excel Reporting and Analysis
AI AI & Automation Skills
AI LLM Optimization
AI Answer Engine Optimization
AI AI-Powered Audience Targeting
AI Generative AI for Content
AI AI Creative & Ad Generation
AI Predictive Analytics & Forecasting
AI AI Prompt Engineering
Brand Marketing
Conversion Rate Optimization
Content Marketing
Analytics & Data Interpretation
Social Media Marketing
Workplace Communication
Personal Storytelling
Interpersonal & Behavioral Skills

Digital Marketing Live Projects

Gain real experience with LIVE projects
for hands-on Digital Marketing Learning

1 2
Project 1:

Meta Ads

Duration: 15 Hours (& 15 Days Live Campaign)

Description:

You'll plan, launch, and optimise a real Facebook and Instagram ad campaign for a live brand — from audience research and ad creative design to budget management, A/B testing, and performance reporting.

  • Meta Business Suite Setup & Pixel Configuration
  • Audience Research & Targeting Strategy
  • Ad Creative Design & Copywriting
  • Campaign Launch, A/B Testing & Optimisation
  • Performance Report & ROAS Analysis
Presentations and Mock Interviews

*Brands change every batch

Project 2:

Google Ads Campaign

Duration: 15 Hours (& 10 Days Live Campaign)

Description:

You'll build and manage a full Google Ads campaign for a real brand — covering keyword research, ad copy writing, Search and Display campaign setup, bid strategy management, and conversion tracking.

  • Keyword Research & Match Type Strategy
  • Search & Display Campaign Setup
  • Ad Copywriting & Ad Extension Configuration
  • Bid Strategy & Quality Score Optimisation
  • Conversion Tracking & Campaign Performance Report
Presentations and Mock Interviews

*Brands change every batch

Project 3:

SEO & Content Strategy

Duration: 20 Hours (& 30 Days of Implementation)

Description:

You'll build a full SEO and content strategy for a real brand — from site audit and keyword mapping to on-page optimisation, blog planning, and tracking organic growth on Google Search Console.

  • Website SEO Audit & Competitor Analysis
  • Keyword Research & Content Calendar
  • On-Page & Technical SEO Implementation
  • Monthly Organic Traffic Report
Presentations and Mock Interviews

*Brands change every batch

Project 4:

Search AI

Duration: 10 Hours (& 14 Days of Implementation)

Description:

You'll learn how AI is transforming search — and build a real strategy to make a brand's content visible across AI-powered search engines, Answer Engines, and Large Language Models.

  • AI Overview & Generative Search Audit
  • Answer Engine Optimisation (AEO) Strategy
  • LLM Optimisation (LLMO) Content Structuring
  • AI Search Visibility Report & Recommendations
Presentations and Mock Interviews

*Brands change every batch

Project 5:

Content Writing & Blogging

Duration: 15 Hours (& 21 Days of Publishing)

Description:

You'll research, write, and publish SEO-optimised blog posts for a real brand — applying keyword strategy, content structure, internal linking, and AI writing tools to drive measurable organic traffic.

  • Topic Research & SEO Keyword Mapping
  • Writing & Publishing 3 SEO-Optimised Blog Posts
  • Internal Linking & On-Page Content Optimisation
  • Blog Performance Tracking via Google Search Console
Presentations and Mock Interviews

*Brands change every batch

Project 6:

WordPress Website Build

Duration: 15 Hours (& 14 Days of Optimisation)

Description:

You'll design and build a fully functional WordPress website for a real brand — covering theme customisation, page building, plugin setup, speed optimisation, and basic on-page SEO implementation.

  • Domain, Hosting Setup & WordPress Installation
  • Theme Customisation & Page Builder Design
  • Plugin Configuration (SEO, Speed, Security)
  • Mobile Responsiveness & Core Web Vitals Optimisation
  • On-Page SEO Setup & Google Search Console Submission
Presentations and Mock Interviews

*Brands change every batch

Project 7:

Email & WhatsApp Marketing Campaign

Duration: 10 Hours (& 14 Days of Campaign)

Description:

You'll design and launch a full email and WhatsApp marketing campaign for a real brand — building subscriber lists, writing drip sequences, setting up automation, and analysing open rates and click performance.

  • Email List Building & Audience Segmentation
  • Email Campaign Design & Copywriting (Mailchimp / Brevo)
  • WhatsApp Business & Automation Setup
  • Drip Sequence & Broadcast Campaign Launch
  • A/B Testing & Campaign Performance Analysis
Presentations and Mock Interviews

*Brands change every batch

Project 8:

Google My Business (Local SEO)

Duration: 10 Hours (& 21 Days of Optimisation)

Description:

You'll fully optimise a real business's Google My Business profile — covering local keyword strategy, review management, photo optimisation, post scheduling, and local search ranking improvement.

  • Google Business Profile Setup & Verification
  • Local Keyword Research & Category Optimisation
  • Photo, Description & Service Section Optimisation
  • Review Generation Strategy & Response Management
  • Local Search Ranking Report & Insights Analysis
Presentations and Mock Interviews

*Brands change every batch

Project 9:

Canva Brand Design & Visual Identity

Duration: 10 Hours (& 30 Days Content Calendar)

Description:

You'll create a complete visual identity system for a real brand using Canva — designing a brand kit, social media templates, ad creatives, and a 30-day content calendar with ready-to-publish posts.

  • Brand Kit Creation (Logo, Colours, Fonts, Voice)
  • Social Media Template Design (Instagram, Facebook, LinkedIn)
  • Ad Creative & Banner Design for Campaigns
  • 30-Day Content Calendar with Scheduled Posts
  • Brand Style Guide Documentation
Presentations and Mock Interviews

*Brands change every batch

Project 10:

Video Editing

Duration: 10 Hours (& 14 Days of Content Production)

Description:

You'll produce and edit real video content for a brand's digital marketing channels — including YouTube videos, Instagram Reels, and short-form ads — using professional video editing tools with transitions, captions, and music.

  • Video Scripting & Storyboarding
  • Editing with Filmora / Adobe Premiere Pro
  • Reels, Shorts & YouTube Video Production
  • Caption, Subtitle & Motion Graphics Addition
  • Platform Optimisation & Publishing Strategy
Presentations and Mock Interviews

*Brands change every batch

Digital Marketing Tools

Hands-on Digital Marketing Training on Industry's Leading Tools

You'll get practical exposure to core tools used for tracking, SEO, ads, content creation, automation, and campaign optimization across modern digital marketing workflows.

Our Professional Programs

Industry-aligned certifications and job-oriented programs designed for beginners, professionals, and advanced learners who want practical digital marketing growth.

Choose Your Perfect Learning Path

Compare our courses and find the right fit for your digital marketing journey

Expert Level

Expert in Digital Marketing

12 Months

  • 70 Comprehensive Modules
  • 60+ AI Tools Integration
  • Advanced SEO & Analytics
  • Digital Strategy Development
  • Leadership Training
  • 1-on-1 Mentorship
  • Real Project Portfolio
  • Industry Certification

Perfect For:

Future Digital Marketing Leaders & Entrepreneurs

Advanced Level

Advanced Digital Marketing

6 Months

  • 60 Detailed Modules
  • 54+ AI Tools Coverage
  • Comprehensive SEO
  • Content Strategy
  • Campaign Management
  • Group Mentorship
  • Practice Projects
  • Course Certification

Perfect For:

Marketing Professionals & Career Switchers

Professional Level

Digital Marketing For Professionals

4 Months

  • 40 Focused Modules
  • 50+ AI Tools Overview
  • Essential SEO Skills
  • Social Media Marketing
  • Basic Analytics
  • Weekly Mentorship
  • Mini Projects
  • Digital Certificate

Perfect For:

Working Professionals & Quick Learners

Beginner Level

Digital Marketing For Beginners

3 Months

  • 30 Basic Modules
  • 40+ AI Tools Introduction
  • Basic SEO Concepts
  • Digital Marketing Basics
  • Marketing Fundamentals
  • Group Learning
  • Guided Projects
  • Completion Certificate

Perfect For:

Students & Career Starters

Your Path to Success

Your Journey With Us

From day one to your dream career ? here's exactly how we take you there, step by step.

Step 1
Step 01

Enrollment

Meet your personal course counsellor, choose the right batch, and enrol with a clear plan — your learning roadmap starts here.

Course Selection 1-on-1 Counselling Flexible Batches
Step 2
Step 02

Training

Attend live expert-led classes across 70 modules, with session recordings on LMS and hands-on practice with 60+ AI tools every week.

Live Expert Classes 70 Modules 60+ AI Tools
Step 3
Step 03

Live Projects

Run actual campaigns on real brand accounts — SEO, Google Ads, Meta Ads, and content — and build a verified portfolio with measurable results.

Real Brand Campaigns Verified Portfolio Mentor Reviews
Step 4
Step 04

Certification

Earn 10+ recognised certifications from Google, Meta, HubSpot, Semrush, Skill India, and DizitalAdda — each tied to a module you have completed.

Google Certified Meta Blueprint 10+ Certificates
Step 5
Step 05

Internship

Complete a paid in-house internship at DizitalAdda's own agency — manage live client accounts and build professional work experience before you graduate.

Paid Internship Live Client Accounts Agency Experience
Step 6
Step 06

Placement / Freelancing

Get placed through 500+ recruiter partners or launch your freelance career — DizitalAdda's placement team supports you until you are earning.

100% Placement Assistance 250+ Recruiters Freelance Support
For Everyone

Who Should Join This Expert Digital
Marketing Course
?

This expert digital marketing course with AI tools is built for people who are ready to go all in. Here is exactly who will benefit most.

Working Professionals

Transition into digital marketing or add it as a high-income skill alongside your current job — with flexible batches, expert mentorship, and a paid internship that gives you real agency experience before you switch roles.

Students & Fresh Graduates

Graduate with a portfolio of live campaigns and 10+ certifications that prove campaign-level competence to recruiters — so you stand out over every other applicant with the same degree and no experience.

Homemakers

Build a freelance income managing social media, running ads, or offering SEO services — all from home, at your own pace, with DizitalAdda's placement team supporting both job seekers and freelancers equally.

Entrepreneurs & Business Owners

Learn to run your own Google Ads, SEO, and Meta campaigns — so you stop overpaying agencies, understand every report they send, and grow your business with a strategy you control and can measure.

Career Switchers

Switch into digital marketing from any field — with a 12-month structured roadmap, a portfolio of real campaign results, a paid internship for legitimate work experience, and a placement team that helps you frame your career change to recruiters.

Freelancers & Content Creators

Turn your creative skills into measurable results clients pay premium rates for — by adding SEO, paid ads, performance analytics, and AI tools to your existing content and social media expertise.

Real Stories

Students Testimonials

What Students Say

Student Reviews

Digital Marketing Certification

Dizitaladda's Digital Marketing Course
in India Helps You Get Hired!

About Dizitaladda's Certification

DizitalAdda's Expert Digital Marketing Certification is awarded after completing India's most comprehensive 12-month digital marketing programme — and it is recognised across the industry because it comes with a verified portfolio of real campaign results, not just a score on a test. Unlike generic online certificates, this credential is backed by live project evidence that every recruiter can verify.

The certification covers every core digital marketing skill: SEO, Paid Marketing, Google Ads, Meta Ads, Social Media Marketing, Content Writing, Email Automation, Analytics, and AI tools in marketing. Your certification portfolio includes 10+ credentials — from DizitalAdda, Google, Meta Blueprint, HubSpot, Semrush, Skill India, and Digital India — each tied to a specific module you completed and a skill you demonstrated on a live campaign.

This is not just another line on your CV — it is your launchpad to roles paying ₹4.5–10.05 LPA at companies like Flipkart, Growisto, Myntra, Nykaa, and 250+ more. DizitalAdda graduates have a 97% placement rate — because this certification tells recruiters exactly what you can deliver.

Learn From The Best

Learn From an Industry
Expert Digital Marketing Mentors

At Dizitaladda, you don't learn from generic YouTube educators or recorded slides. Your trainers are full-time digital marketing professionals who run live campaigns, manage real budgets, and deliver results every single day.

What We Have Achieved?

  • DizitalAdda has trained 25000+ of students and working professionals through practical Digital Marketing and Web Development programs designed for real industry needs. With hands-on learning, live projects, and career-focused training, the institute has helped learners build successful careers in top companies, startups, agencies, and freelance industries across India.
  • The institute’s contribution to skill-based education has also been recognized through prestigious industry honors, including the Indian Icon Award presented by Dr. Kiran Bedi, the Bharat Business Award presented by Ashneer Grover, and The Excellence Award by The Hotel School. These recognitions highlight DizitalAdda’s commitment to quality training, student success, and innovation in digital education.
  • At DizitalAdda, students gain real-world experience by working on live campaigns, SEO projects, social media strategies, AI-powered marketing tools, and website development tasks. The focus is not only on learning concepts but also on building portfolios, improving practical skills, and preparing students for real corporate environments with confidence and industry-ready expertise.
Award
Award
Award

Experience Learning in a Professional Campus

Training Room
Study Zone
Corridor
Classroom
Seminar Hall
Live Session
Workshop
Group Activity
Campus Lounge

Our DizitalAdda campus reflects a real corporate digital marketing environment — focused, distraction-free, and performance-driven with state-of-the-art facilities.

Small Batches

Max 15 students per batch for personalized attention

Corporate Setup

Real project desks & live industry tools

Expert Mentors

10+ years industry experience instructors

Next Batch Starts In:
: :
Only 24 seats left

Free Session

Book a Free Demo Class

Choose a date and book your free demo session in just a few clicks. Once you fill in your details, our team will confirm your slot within 24 hours and guide you through the next steps.

SuMoTuWeThFrSa
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Today
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Select a date to book your demo session
1-hour live session with actual course curriculum
100% free demo class with zero hidden charges
Personalised career counselling after the session
Option to attend online or offline (Delhi/NCR)
← Pick a date from the calendar

Frequently Asked Questions

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

What is data science and what does a data scientist actually do?

Data science is the interdisciplinary field of extracting knowledge, insights, and predictive value from structured and unstructured data using statistics, machine learning, programming, and domain expertise. A data scientist day-to-day work typically includes: defining business questions that data can answer (churn prediction, demand forecasting, fraud detection, recommendation, pricing optimisation); collecting, cleaning, and preprocessing raw data (often the majority of practical time — removing duplicates, handling missing values, encoding categorical variables); exploratory data analysis (EDA) — visualising data distributions, correlations, and patterns to understand what the data contains; building and evaluating ML models using Scikit-learn, XGBoost, TensorFlow, or PyTorch; communicating findings to business stakeholders via dashboards (Power BI, Tableau) and data story presentations; and deploying models into production via REST APIs, cloud platforms, or data pipelines. In India 2026–2027 job market, Data Scientist is one of the highest-demand technical roles — across banking, e-commerce, healthcare, logistics, fintech, and edtech. DizitalAdda Diploma in Data Science & AI covers all aspects of this workflow over 12 months. Call +91-8810606010.

What is the difference between data science, data analytics, and machine learning?

Data analytics focuses on describing and interpreting what has already happened — using SQL, Excel, Power BI, and Tableau to create dashboards, reports, and business performance summaries. It is primarily backward-looking (what were our sales last quarter?) and involves minimal predictive modelling. Data science is broader and more technical — it combines data analytics capabilities with machine learning (predicting future outcomes), statistical modelling (quantifying uncertainty), and data engineering (building the pipelines that collect and process data). Machine learning is a specific technical toolkit within data science — algorithms that learn patterns from data to make predictions or decisions. The relationship: all machine learning is data science, but not all data science is machine learning. All data science involves analytics, but data analytics roles typically do not require ML skills. DizitalAdda Diploma in Data Science & AI covers all three layers: data analytics (SQL, Power BI, EDA), machine learning (Scikit-learn, XGBoost, TensorFlow), and data engineering (PySpark, cloud pipelines). Call +91-8810606010.

What SQL skills are covered in DizitalAdda data science diploma?

SQL (Structured Query Language) is the foundational skill for every data role — Data Scientist, Data Analyst, Data Engineer, and Business Intelligence Developer. Nearly every data science job description requires SQL proficiency, and SQL is the primary tool for querying, filtering, joining, and aggregating data from relational databases. DizitalAdda Diploma in Data Science & AI covers SQL comprehensively: basic querying (SELECT, WHERE, ORDER BY, GROUP BY, HAVING); multi-table joins (INNER, LEFT, RIGHT, FULL OUTER); subqueries and common table expressions (CTEs); window functions (ROW_NUMBER, RANK, LEAD, LAG, SUM OVER PARTITION — essential for time-series and ranking analysis); stored procedures and views; query optimisation and indexing for large datasets; and integration of SQL with Python (using SQLAlchemy and Pandas .read_sql() for data pipeline construction). Database platforms covered: MySQL and PostgreSQL (standard in Indian industry), with an introduction to cloud SQL on BigQuery (GCP) and AWS RDS. Call +91-8810606010.

What is Power BI and why is it important for data science careers?

Power BI is Microsoft business intelligence and data visualisation platform — the most widely used BI tool in Indian enterprises in 2026, used for building interactive dashboards, automated reports, and real-time data monitoring across finance, sales, operations, and marketing. For data science professionals, Power BI proficiency is important because: data scientists frequently need to communicate insights and model outputs to non-technical business stakeholders, and Power BI is the standard tool for this in most Indian organisations; many data scientist roles at large enterprises require direct BI dashboard ownership or collaboration with BI teams; and combining Power BI with Python (using Python visuals within Power BI, or automating report refresh via Python scripts) is an advanced skill that significantly differentiates data science candidates. DizitalAdda Diploma in Data Science & AI covers Power BI from fundamentals (connecting data sources, building measures with DAX, creating interactive reports) through advanced features (Power Query, drill-through, row-level security) and Tableau as a secondary BI tool. Call +91-8810606010.

What is Big Data and why is PySpark included in data science training?

Big Data refers to datasets too large, fast, or complex to be processed by traditional tools like Pandas or SQL on a single machine. When a company has millions of rows of transaction data, streaming event logs, or petabytes of user behaviour data, Big Data frameworks like Apache Spark (and its Python interface, PySpark) are used to process and analyse data in parallel across a cluster of machines. PySpark is increasingly listed in senior Data Scientist and Data Engineer job descriptions in India — particularly at e-commerce companies (Flipkart, Amazon), fintech platforms (Paytm, Zepto), ride-sharing platforms (Ola, Rapido), and banks processing millions of daily transactions. DizitalAdda Diploma in Data Science & AI includes: PySpark fundamentals (RDDs, DataFrames, SparkSQL); batch data processing pipelines; streaming data with Apache Kafka; and integration with cloud data platforms (AWS S3, GCP BigQuery). This Big Data module is not included in the 6-month Advanced Data Science & AI certification — it is a key differentiator of the 12-month Diploma. Call +91-8810606010.

What is the fee for DizitalAdda Diploma in Data Science & AI?

DizitalAdda Diploma in Data Science & AI is a 12-month / 288-hour hybrid program with an all-inclusive fee covering the full curriculum across 12 months, a domain-based capstone project (end-to-end data pipeline + ML model + deployed dashboard), all tools and software access (Python, SQL, Power BI, PySpark, TensorFlow, AWS/GCP/Azure sandbox), 10+ certifications, a paid in-house internship for qualifying students, portfolio and GitHub profile building, mock technical interviews, and 100% placement assistance until placed. Flexible EMI options available. No hidden charges. Call +91-8810606010 or visit dizitaladda.com/courses/diploma-in-data-science-and-ai for current fee and next batch date.

Is DizitalAdda data science diploma available online?

Yes. DizitalAdda Diploma in Data Science & AI is available in fully live online format — all classes are live and interactive with real-time Python, SQL, and Power BI demonstrations, trainer code reviews on project assignments, and identical capstone, portfolio, and placement support to in-person students. Evening batch (7–9 PM weekdays) and weekend batch (Saturday–Sunday, 10 AM–1 PM) are available online. Call +91-8810606010 or WhatsApp to schedule a free online demo class.

What is the difference between DizitalAdda Diploma in Data Science and the Advanced Data Science & AI certification?

DizitalAdda offers two programs in Data Science & AI: the Advanced Certification in Data Science & AI (6 months / 144 hours) and the Diploma in Data Science & AI (12 months / 288 hours). The Advanced Certification covers Python, SQL, ML, Deep Learning, Data Visualisation, and model deployment — the core data science stack for entry-level Data Scientist, Data Analyst, and ML Engineer roles. The Diploma includes the complete Advanced Certification curriculum plus: extended Big Data engineering (PySpark, Hadoop, Kafka); multi-cloud deployment (AWS, GCP, and Azure — not just AWS); a larger domain-based capstone project (end-to-end pipeline, model, and dashboard); advanced MLOps (CI/CD for ML, automated monitoring, model retraining pipelines); and a deeper career preparation module. Choose the Diploma if you want the broadest possible skill set and career options — including Data Engineer, Senior Data Scientist, and Analytics Manager roles. Choose the Advanced Certification if you want a focused 6-month path to data science employment. Both include 100% placement assistance. Call +91-8810606010.

What jobs can I get after a data science diploma in Delhi?

After completing DizitalAdda Diploma in Data Science & AI, graduates are job-ready for the following roles in Delhi-NCR and remote: Data Scientist — building predictive models and data-driven solutions; entry salary Rs 5–10 LPA, rising to Rs 12–25 LPA with 2–3 years of project depth. Data Analyst — SQL querying, Power BI dashboards, statistical analysis; entry salary Rs 3.5–7 LPA. Machine Learning Engineer — training and deploying production ML models; entry salary Rs 5–12 LPA. Data Engineer — building data pipelines, ETL processes, and Big Data infrastructure; entry salary Rs 5–12 LPA, with Big Data skills (PySpark) commanding premium. Business Intelligence Developer — Power BI / Tableau dashboard development and data modelling; entry salary Rs 4–8 LPA. Analytics Manager (2–3 years experience): Rs 12–20 LPA. AI Developer — building AI applications with Python, LLMs, and APIs; entry salary Rs 5–12 LPA. DizitalAdda 250+ hiring partner network covers product companies, consulting firms, analytics agencies, banks, and e-commerce platforms. Call +91-8810606010.

What is cloud deployment for data science and why is AWS GCP Azure covered in the diploma?

Cloud deployment for data science means moving ML models, data pipelines, and analytics dashboards from a local machine to cloud infrastructure — so they run continuously, scale with demand, and are accessible to business users and other systems via APIs. In 2025, virtually all production ML and data science work in Indian enterprises runs on cloud platforms. The three major platforms are: AWS (Amazon Web Services) — the most widely deployed cloud platform in India enterprise sector, used for ML hosting (SageMaker), storage (S3), serverless computing (Lambda), and managed databases (RDS, Redshift); GCP (Google Cloud Platform) — strong in ML tooling (Vertex AI, BigQuery ML, AutoML) and widely used in Indian startups; Azure (Microsoft Azure) — dominant in enterprises running Microsoft stacks, with Azure ML Studio and Azure Data Factory widely used in banking and FMCG sectors. DizitalAdda Diploma in Data Science & AI covers all three cloud platforms at a practical level: deploying ML models, running data pipelines, and using managed ML services — ensuring graduates can work in any enterprise cloud environment. The 6-month Advanced Certification covers AWS only; all three platforms are exclusive to the 12-month Diploma. Call +91-8810606010.

What is exploratory data analysis and how is it taught in DizitalAdda data science course?

Exploratory Data Analysis (EDA) is the process of visually and statistically examining a dataset before building models — to understand its structure, identify patterns, detect outliers, check data quality, and form hypotheses. EDA is how data scientists understand the data they are working with before deciding which ML approaches are appropriate. EDA is not just a preliminary step — in many data science projects, the insights from EDA directly drive business decisions and are presented to stakeholders independently of any ML modelling. DizitalAdda Diploma in Data Science & AI covers EDA comprehensively: univariate and bivariate analysis (distributions, central tendency, spread, correlation); visualisation with Matplotlib, Seaborn, and Plotly (histograms, scatter plots, box plots, heatmaps, pair plots); outlier detection and treatment; missing value analysis and imputation strategies; feature correlation analysis and multicollinearity detection; and a structured EDA project where students analyse a real Indian business dataset (retail, banking, or healthcare) and present findings in a dashboard. Call +91-8810606010.

What certifications are included in DizitalAdda 12-month data science diploma?

Students completing DizitalAdda Diploma in Data Science & AI receive 10+ certifications including: DizitalAdda Professional Diploma in Data Science & AI; Skill India certification; cloud platform credentials (AWS Cloud Practitioner or equivalent, GCP fundamentals); Power BI certification pathway; and project completion certifications for the domain-based capstone project and each major module project. For data science roles in Delhi-NCR, this certification bundle — combined with a GitHub portfolio of deployed data pipelines and ML models — is the most comprehensive hiring credential a data science graduate can present from an Indian training institute. Call +91-8810606010.

Does DizitalAdda provide placement assistance after the data science diploma?

Yes. DizitalAdda provides 100% placement assistance for all Diploma in Data Science & AI graduates — with no time limit until placed. Support includes: GitHub portfolio review and documentation coaching; technical resume optimisation for data science, ML engineering, and data analytics roles; mock technical interviews (Python / SQL coding, statistics, ML model evaluation, case study analysis); LinkedIn and professional profile optimisation; direct recruiter referrals through DizitalAdda 250+ hiring partner network; and placement team follow-up until you receive and accept an offer. With a 97% placement rate across 25,000+ students trained since 2009, DizitalAdda placement team has the recruiter relationships and coaching track record to support every graduate across the full range of data science, analytics, and ML engineering roles. Call +91-8810606010.

What statistical skills are required for data science and are they covered in the course?

Statistical knowledge is foundational to data science — it determines whether you can correctly interpret model results, design valid experiments, and communicate uncertainty to business stakeholders. The key statistical skills required for data science roles in India 2026 job market are: descriptive statistics (mean, median, mode, variance, standard deviation, percentiles — summarising data distributions); probability fundamentals (conditional probability, Bayes theorem — required for understanding probabilistic ML models and Bayesian approaches); inferential statistics (hypothesis testing, t-tests, chi-square tests, ANOVA — for A/B testing and business decision validation); correlation and causation (Pearson and Spearman correlation, understanding why correlation does not imply causation); and regression interpretation (coefficients, p-values, R², residual analysis). DizitalAdda Diploma in Data Science & AI covers all of these in the Statistics for Data Science module — taught with Python (NumPy, SciPy, Statsmodels) and applied to real Indian business datasets so statistical concepts are learned in context rather than abstractly. Call +91-8810606010.

What is feature engineering and why is it a critical data science skill?

Feature engineering is the process of using domain knowledge to create, transform, or select input variables (features) that improve the predictive performance of machine learning models. It is frequently described by practising data scientists as the skill that most differentiates strong ML practitioners from those who simply apply off-the-shelf algorithms — because a well-engineered feature set can improve model accuracy by 10–30% compared to using raw data directly. Key feature engineering techniques taught in DizitalAdda Diploma in Data Science & AI: creating interaction features (combining two variables to capture their joint effect); polynomial features (capturing non-linear relationships); encoding categorical variables (one-hot encoding, target encoding, ordinal encoding); date and time feature extraction (day of week, month, quarter, days since event); binning and discretisation (grouping continuous variables into meaningful categories); text feature extraction (TF-IDF, word embeddings); feature scaling (standardisation, min-max normalisation — required for distance-based algorithms); and feature selection (removing low-variance and highly correlated features using filter, wrapper, and embedded methods). Call +91-8810606010.

Who should enrol in DizitalAdda 12-month data science diploma?

DizitalAdda Diploma in Data Science & AI is designed for: graduates (any engineering, science, mathematics, economics, or commerce background) who want a comprehensive foundation for a data science career; working professionals from software development, IT, banking, finance, operations, or research who want to transition into data science and need maximum skill depth and career support; students who have completed a shorter data analytics or Python course and want to build ML, Big Data, and cloud deployment skills on top; and professionals targeting senior roles (Senior Data Scientist, Data Engineer, Analytics Manager) who want the broadest possible skill set. The 6-month Advanced Certification in Data Science & AI is better suited to learners who want a faster path to entry-level data science employment with a focused curriculum. Both programs are beginner-friendly — no prior coding experience is required. Call +91-8810606010 for a counselling session to choose the right program.

What is the scope of data science as a career in India in 2026?

Data science is India most in-demand technical career in 2026, with structural demand driven by: AI and ML adoption across Indian enterprises (banking, insurance, e-commerce, healthcare, logistics, edtech) creating tens of thousands of open data science, ML, and analytics roles; the growth of India data economy (India is projected to become the world third-largest economy, and data-driven decision-making is now a standard business practice across sectors); an acute supply-demand gap — the NASSCOM AI & Analytics Report estimates over 1,50,000 open data science and analytics jobs in India in 2025, against a qualified talent pool of approximately 40,000 practitioners; and the Generative AI wave creating new adjacent roles (LLM application development, RAG engineering, AI product development) that all require data science foundations. For graduates in Delhi-NCR, the practical path to data science employment is: structured training with Python, SQL, ML, and deployment skills; a portfolio of end-to-end projects on real datasets; a recruiter-ready GitHub profile; and targeted placement support through a network of 250+ hiring partners. Call +91-8810606010.

How do I book a free demo class for DizitalAdda data science diploma?

Visit dizitaladda.com/courses/diploma-in-data-science-and-ai, call +91-8810606010, or WhatsApp the same number. The demo is a 1-hour live session covering Python basics, an EDA demonstration on a real dataset, and an overview of the 12-month curriculum — using actual course content, not a sales presentation — followed by a no-obligation career counselling session where you can choose between the 6-month Advanced Certification and the 12-month Diploma based on your background and career goals. Attend online from home or in-person at DizitalAdda Greater Kailash II campus, South Delhi. Completely free. Batch seat confirmation within 24 hours.