Professional Certification In Data Science
Carrer Support
Duration
Delivery Mode
Language
English
Level
Beginner to
Intermediate
200+ Placed
Live Training
1:1 Mentorship
EMI Available
Everything You Get in This Course
Industry-Focused Projects
- 5+ real-world projects
- Build job-ready portfolios
- Hands-on problem solving
- Practical exposure to industry scenarios
Career Support
- Resume & LinkedIn profile building
- Job placement assistance
- Mock interviews & interview prep
- Career guidance from experts
- Opportunities to showcase your skills
Live Instructor-Led Training
- Live interactive sessions
- Weekday & Weekend batches
- Recorded sessions for revision
- 24×7 mentor support
- Doubt-solving & guided learning
Hands-On Learning
- Practical hands-on projects
- Real-world case studies
- Data-driven problem solving
- Industry-relevant assignments
- Learn by doing approach
Certification
- Industry-recognized certification
- Proof of skill & course completion
- Shareable digital certificate
- Adds value to your resume
- Valid for career growth
Networking
- Peer-to-peer learning environment
- Collaborate on projects
- Community discussions & support
- Networking with like-minded learners
- Knowledge sharing sessions
Capstone Project & Mentorship
- Final capstone project
- Apply all learned concepts
- Guided by industry mentors
- Real business problem solving
- Career-focused project experience
Master these Tools
Course Curriculum
1.Preparatory Sessions –Python
Get started with Python through our structured preparatory sessions. Learn the fundamentals, explore essential tools, and gain hands-on experience with guided practice to build a strong programming foundation.
- Introduction to Python and IDEs
- Python Basics
- Hands-on Sessions and Assignments for Practice
2.Data Transformation Using SQL
Master the art of data manipulation with SQL. From foundational concepts to advanced techniques,
explore SQL basics, optimize performance, and dive deep into user-defined functions for efficient data
processing.
- SQL Basics
- Advanced SQL
- Deep Dive into User Defined Functions
3.Python Libraries for Data Science
Harness the power of Python’s top libraries for data science. Learn to handle data with NumPy, manipulate
datasets using Pandas, preprocess data effectively, and create insightful visualizations.
- Data Handling with NumPy
- Data Manipulation Using Pandas
- Data Preprocessing
- Data Visualization
3.Python Libraries for Data Science
Harness the power of Python’s top libraries for data science. Learn to handle data with NumPy, manipulate
datasets using Pandas, preprocess data effectively, and create insightful visualizations.
- Data Handling with NumPy
- Data Manipulation Using Pandas
- Data Preprocessing
- Data Visualization
4.Inferential Analytics
Build a strong foundation in inferential statistics and prescriptive analytics. Learn to leverage Python for
descriptive, diagnostic, and predictive statistical analysis to derive meaningful insights from data.
- Statistics and Descriptive Analytics
- Python for Descriptive, Diagnostic, and Inferential Statistics
- Prescriptive Analytics
5.Machine Learning
Explore the core concepts of machine learning, from regression and classification to clustering
techniques. Gain hands-on experience in building predictive models using real-world datasets.
- Introduction to Machine learning
- Regression
- Classification
- Clustering
6.Supervised Learning
Master supervised learning techniques, including regression models, decision trees, random forests,
and support vector machines. Learn to evaluate model performance using classification reports,
confusion matrices, and time series forecasting.
- Linear Regression Machine learning
- Logistic Regression
- Decision Tree
- Random Forest
- Support Vector Machine
- K-Nearest Neighbours
- Time Series Forecasting
- Performance Metrics
- Classification reports
- Confusion matrix
7.Unsupervised Learning
Understand unsupervised learning methods like K-means clustering and dimensionality reduction
techniques such as PCA and LDA. Learn how to uncover hidden patterns in data without labeled outputs
- K-means
- Dimensionality reduction
- Linear Discriminant Analysis
- Principal Component Analysis
8.Advanced Machine Learning Algorithms
Dive deeper into machine learning with advanced techniques like bagging, boosting, and predictive analytics. Explore cognitive science applications to enhance model performance.
- Bagging And Boosting Algorithms
- Other Machine Learning Algorithms
- Predictive Analytics and Machine Learning
- Cognitive Science and Analytics
9.Data Science at Scale with spark
Learn to handle big data efficiently using Apache Spark. Understand RDDs, advanced Spark concepts, and the integration of Spark with Hive for large-scale data processing.
- Introduction to Big Data and Spark
- RDDs
- Advanced Concepts & Spark-Hive
10.Deep Learning Using TensorFlow
Discover the fundamentals of artificial intelligence and deep learning. Explore neural networks and TensorFlow to build and train deep learning models.
- Artificial Intelligence Basics
- Neural Networks
- Deep Learning
11.Natural Language Processing
Unlock the power of NLP with text mining, sentiment analysis, and sequence modeling. Learn to build AI-driven chatbots and recommendation engines.
- Text Mining, Cleaning, and Pre-processing
- Text classification, NLTK, sentiment analysis, etc
- Sentence Structure, Sequence Tagging, Sequence Tasks,
and Language Modelling - AI Chatbots and Recommendations Engine
12.Power BI
Gain expertise in data visualization and analytics using Power BI. Learn DAX, create interactive
dashboards, and perform hands-on exercises to turn raw data into actionable insights.
- Power BI Basics
- DAX
- Data Visualization with Analytics
- Hands-on Exercise
13.MLOps
Understand MLOps principles for deploying and managing machine learning models in production. Learn best practices for automation, monitoring, and scalability.
- Introduction to MLOps
- Deploying Machine Learning Models
14.Data Science Capstone Project
Apply your knowledge to a real-world data science project. Work on an end-to-end problem statement, integrating machine learning, deep learning, and data visualization techniques.
Who Can Enroll in Our Courses
Future-Ready Students
Get ahead in campus placements by mastering in-demand AI and tech skills.
Aspiring Tech Professionals
No prior experience required — learn step-by-step from core fundamentals.
Working Professionals
Flexible schedules so you can upskill and grow while working full-time.
Fresh
Graduates
Become job-ready with hands-on projects and an industry-focused portfolio.
Enquire Now
Fees Structure
Total Amount:- 74,999/-
EMI Options
| No Cost EMI | Standerd EMI |
|---|---|
| 13164/ Month (For 6 Month) | 3744/Month (For 24 Month) |
Fees Structure
Meet Your Expert Mentors
Rishu Raj Verma
Ashutosh Sharma
Bhawana aggarwal
Pawan Singh
Sandeep Sharma
Dilip Andrew
Joan Sebastian Cruz García
Mrinalini Agarwal Singh
Ashutosh Sharma
Rishu Raj Verma
Bhawana aggarwal
Get certified by Start2Skill
Earn industry-backed
Recognition and Career Opportunities
Industry-Endorsed Certificate
Get certified upon course completion with a recognized credential, validating your skills in Data Science andBusiness Intelligence.
Strong Peer Network
Become part of a thriving community of learners and
professionals from top companies.
Recognized Across Industries
Our certification is trusted by hiring managers across domains—ideal for career switchers and freshers alike.
Industry-Ready Success Stories
The Path to Your Tech Career
Talk to a Program
Advisor
Book a free 1:1 counselling call
Enroll in the Right
Course
Get a plan matched to your goals & level.
Learn with Live + Hands-on Projects
Attend live classes and build r
Get Career Guidance & Placement Support
Resume, interviews & job referrals.
Frequently Asked Questions
What core modules are included in the Professional Data Science Certification?
Our curriculum provides a 360-degree approach, covering Advanced Statistical Analysis, Python for Data Science, and SQL for Data Management. You will progress into high-demand areas like Machine Learning Algorithms, Deep Learning, and Natural Language Processing (NLP). The program is designed to take you from foundational data manipulation to building complex predictive models.
Data Science course include Generative AI and LLMs?
Yes, Start2Skill stays ahead of industry trends by integrating Generative AI and Large Language Models (LLMs) into the Data Science track. You will learn how to leverage Prompt Engineering, fine-tune models using Hugging Face, and use AI to automate data cleaning and feature engineering, making you a highly efficient “AI-First” Data Scientist.
Which Machine Learning libraries and tools will I master?
Yes, Start2Skill stays ahead of industry trends by integrating Generative AI and Large Language Models (LLMs) into the Data Science track. You will learn how to leverage Prompt Engineering, fine-tune models using Hugging Face, and use AI to automate data cleaning and feature engineering, making you a highly efficient “AI-First” Data Scientist.
What real-world projects will I add to my Data Science portfolio?
You will complete 10+ industry-aligned projects, culminating in a Capstone Project where you solve a real-world business challenge. Examples include building a Predictive Maintenance Model, a Customer Recommendation Engine, and a Sentiment Analysis Tool. These projects provide tangible proof of your skills to hiring managers and recruiters.
Is this Advanced Data Science program suitable for beginners?
Absolutely. While this is an “Advanced” program in terms of depth, we follow a structured learning path that begins with the basics of programming and mathematics. Whether you are from a technical or non-technical background, our Live Mentorship and 24/7 support system ensure you build a strong foundation before moving to complex data engineering concepts.
What career roles can I apply for after completing this certification?
Our graduates are prepared for high-growth roles such as Data Scientist, Machine Learning Engineer, Data Analyst, AI Specialist, and Business Intelligence (BI) Developer. With the global demand for data-driven decision-making, this certification opens doors across sectors like Finance, Healthcare, E-commerce, and Tech.
How does Start2Skill provide job placement and career support?
Start2Skill provides a dedicated Career Excellence Support program. This includes 1-on-1 Resume Building workshops, LinkedIn profile optimization for AI visibility, and Mock Technical Interviews. Additionally, we provide access to our network of 350+ hiring partners, ensuring you have a direct pipeline to the most sought-after data science roles in the industry.