Master Data Science Course with Certification & Job Assistance

Become a Certified Data Scientist – Learn From Industry Experts in Preet Vihar!

Master Python, R, SQL, Machine Learning, AI, Data Visualization & Analytics with hands-on projects. Choose online or offline classes and kickstart your career in Data Science today.

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Data Science Courses @ DDA

Dive into data, build predictive models, and extract powerful insights. From Python programming and statistics to machine learning, visualization, and real-world datasets — our Data Science training gets you industry-ready.

Data Science Fundamentals

Duration: 3 Months
Mode: Online & Offline
Projects: Data Cleaning, Exploratory Analysis, Visualization Projects
Tools Covered: Python, Pandas, NumPy, Matplotlib

Machine Learning with Python

Duration: 3.5 Months
Mode: Online & Offline
Projects: Predictive Models, Recommendation Engines, Classification Projects
Tools Covered: Scikit-learn, TensorFlow, Keras

Applied Data Science (Capstone)

Duration: 2.5 Months
Mode: Online & Offline
Projects: Real-World Datasets, Business Analytics, AI-Based Solutions
Tools Covered: SQL, Tableau, Power BI, Python Libraries

About Digital Delivers

Why Choose DDA | Digital Delivers Academy?

We're not just another digital academy. We're your partner in transformation, combining cutting-edge education with real-world application to deliver results that matter.

Expert Instructors

Learn from industry professionals with years of real-world experience.

Hands-on Projects

Build real projects that showcase your skills to employers.

Career Support

95% placement rate with dedicated career guidance and job placement.

Industry Recognition

Certificates recognized by leading companies and industry partners.

Curriculum Breakdown

7-week step-by-step curriculum • from beginner to professional
Week 1 — Introduction to Data Science
PythonJupyterBasics

Learn Python for data science, set up Jupyter notebooks, and understand the fundamentals of data analysis.

BeginnerHands-on
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Projects Completed
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Industry Partners

Learning Outcomes / Skills Gained

By the end of this Data Science Training, you will be able to:

🐍
Python for Data Science

Write efficient Python code for data analysis, using Jupyter notebooks and core Python libraries.

📊
Data Wrangling

Use Pandas and NumPy to clean, transform, and prepare raw datasets for meaningful analysis.

📈
Data Visualization

Create insightful charts and dashboards using Matplotlib, Seaborn, and Plotly.

📐
Statistics & Probability

Apply statistical methods, probability, and hypothesis testing to gain insights from data.

🤖
Machine Learning

Implement supervised and unsupervised ML algorithms using Scikit-learn for predictive analysis.

⚙️
Model Deployment

Deploy machine learning models with Flask, Streamlit, or cloud platforms for real-world use.

📂
Portfolio Projects

Work on real datasets and build projects to showcase your expertise in data science.

💼
Career Readiness

Prepare for roles such as Data Analyst, Machine Learning Engineer, and Data Scientist.

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Problem Solving

Develop critical thinking, debug data pipelines, and apply analytical approaches to solve problems.

Data Science Course Modules

A step-by-step learning path designed to make you an expert Data Scientist with practical, industry-ready skills.

Introduction to Data Science

Understand data science fundamentals, career opportunities, and the data analytics workflow.

Python & R Programming

Learn programming, data manipulation, and statistical analysis using Python and R.

Data Collection & SQL

Work with databases, query data using SQL, and clean datasets for analysis.

Data Visualization

Visualize data using Matplotlib, Seaborn, Tableau, and create insightful dashboards.

Machine Learning

Learn supervised, unsupervised, and reinforcement learning with real-world datasets.

Artificial Intelligence & Deep Learning

Understand AI concepts, neural networks, and build deep learning models using Python.

Statistical Analysis & Probability

Apply statistical techniques and probability theory to analyze and interpret data.

Data Projects & Case Studies

Work on real-world data projects to gain hands-on experience and build your portfolio.

Big Data & Cloud Tools

Learn to work with Hadoop, Spark, and cloud platforms for large-scale data processing.

Data Ethics & Governance

Understand data privacy, security, and ethical considerations in data science projects.

Capstone Project

Implement a full-scale data science project from data collection to deployment.

Certification & Career Guidance

Earn your certification and receive guidance to land jobs in Data Science and Analytics.

Take the First Step Toward a Data Science Career

Learn Python, Machine Learning, AI, data analysis, and visualization to build data-driven solutions.

Tools & Software Covered

Hands-on training on the latest and most in-demand data science tools

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Python

Core programming language for data science and machine learning.

📓
Jupyter Notebook

Interactive environment for coding, visualization, and documentation.

📊
Pandas & NumPy

Libraries for data manipulation, cleaning, and numerical computations.

📈
Matplotlib & Seaborn

Visualization libraries for creating charts, graphs, and dashboards.

🤖
Scikit-learn

Machine learning library for regression, classification, and clustering.

🧠
TensorFlow / PyTorch

Deep learning frameworks for building neural networks and AI models.

☁️
Google Colab

Cloud-based Jupyter notebooks with free GPU/TPU support.

📂
Git & GitHub

Version control and collaboration for data science projects.

Student Reviews

Hear from our Data Science graduates who transformed their skills into data-driven careers and impactful projects.

Ankit Verma

"The Data Science course gave me hands-on experience with Python and Machine Learning. Today, I analyze data for top tech companies."

Ankit Verma
Data Analyst at CreativeTech
Neha Singh

"I learned SQL, AI, and data visualization from industry experts. Now, I work on multiple analytics projects for clients."

Neha Singh
Freelance Data Scientist
Rohit Kapoor

"The mentors guided me through machine learning projects and portfolio building. I now work at a leading analytics firm."

Rohit Kapoor
Data Scientist at PixelWorks
Ankit Verma

"The Data Science course gave me hands-on experience with Python and Machine Learning. Today, I analyze data for top tech companies."

Ankit Verma
Data Analyst at CreativeTech
Neha Singh

"I learned SQL, AI, and data visualization from industry experts. Now, I work on multiple analytics projects for clients."

Neha Singh
Freelance Data Scientist
Rohit Kapoor

"The mentors guided me through machine learning projects and portfolio building. I now work at a leading analytics firm."

Rohit Kapoor
Data Scientist at PixelWorks

Why Choose Our Data Science Course?

We don’t just teach data; we shape analytical problem-solvers. Learn with hands-on projects, expert mentors, and portfolio guidance that ensures career success.

Hands-on Data Projects

Work on real datasets, analytics, and machine learning projects to gain practical experience and confidence.

Industry Expert Mentors

Learn from data science professionals with years of experience in analytics and AI projects.

Portfolio & Career Support

Get guidance for portfolio building, mock interviews, and career opportunities in Data Science.

Flexible Learning Options

Choose online, offline, or hybrid classes and learn at your own pace without missing lessons.

Industry-Recognized Certification

Earn certificates in Python, ML, and Data Science that strengthen your profile globally.

Affordable with EMI Options

Get premium Data Science training at budget-friendly fees. Flexible EMI plans available.

Book a Free Demo Class

Get In Touch

Ready to launch your career in Data Science, Machine Learning, or AI? Connect with our experts today to receive personalized guidance, hands-on project support, and insights into the fastest-growing data careers.

Visit Our Office

Preet Vihar
Delhi, India

Call Us

+91 9350022916
+91 8287250570

Email Us

info@dgdelivers.com
marketing@dgdelivers.com

Elevate Your Career with Data Science

Learn Python, Machine Learning, AI, and data analytics with expert guidance and hands-on projects.

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Prerequisites & Who This Course Is For

Start your journey into Data Science – minimal coding background required.

✅

Prerequisites

This Data Science Course is beginner-friendly and does not demand an advanced coding background. Some logical thinking and familiarity with numbers will be useful.

  • 💻 Basic Computer Skills: Ability to work with files, software, and web tools.
  • 📊 Math Fundamentals: Basic understanding of statistics, algebra, and probability.
  • 🐍 Optional Python Knowledge: Familiarity with Python helps but is not mandatory.
🎯

Who This Course Is For

  • 🎓 Students & Graduates: Looking to build a career in data analytics or AI.
  • 💼 Working Professionals: Seeking to transition into data-driven roles.
  • 📈 Business Analysts: Wanting to enhance decision-making with data insights.
  • 🧑‍💻 Developers & IT Professionals: Interested in expanding into machine learning and AI.

Whether you’re a beginner or a professional upgrading your skills, this course will prepare you to become a job-ready Data Science expert.

Frequently Asked Questions

Have questions about our Data Science programs? Here are the most common queries answered.

Anyone with a curiosity for data can join—students, working professionals, analysts, IT professionals, and entrepreneurs. No prior coding or analytics experience is required.

You will master Python, R, SQL, Tableau, Power BI, Excel, and libraries like Pandas, NumPy, Matplotlib, Scikit-learn, and TensorFlow for analytics, machine learning, and AI projects.

Yes, you will receive an industry-recognized Data Science certification upon successful completion, enhancing your resume and LinkedIn profile.

The course duration ranges from 4–6 months depending on the batch type (weekend, fast-track, or regular) and the specialization chosen.

Yes! We provide one-on-one mentorship, resume and portfolio guidance, mock interviews, and access to our network of hiring partners in data analytics, AI, and machine learning domains.

Absolutely! Our flexible learning options include live online sessions, self-paced learning, and recorded lectures to study anytime, anywhere.

No prior experience is required. We start with the basics of Python, SQL, statistics, and data visualization before moving to advanced machine learning and AI projects.

Yes! You will work on industry-based datasets, end-to-end projects, and capstone assignments to build a strong portfolio.

Graduates can become Data Analysts, Data Scientists, Machine Learning Engineers, AI Specialists, Business Analysts, or pursue freelance and consultancy roles in analytics and AI.

Yes, experienced mentors provide personalized guidance, project feedback, doubt clarification, and career advice throughout the program to ensure your success.

Kickstart Your Data Science Career

Learn Python, machine learning, AI, and data analytics to transform raw data into actionable insights and accelerate your professional growth.

Enroll Now Hire a Data Expert