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Advanced Certification Program in Data Science & AI
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- Advanced Certification Training Program by Ethan’s.
- 04 Months intensive Data Science & AI certification program with hybrid classes (online + offline), ideal for learners aiming to build a career in data science, machine learning, and artificial intelligence.
- Suitable for college students, graduates, postgraduates, working professionals, career switchers, candidates with a career gap, and early AI professionals.
- Start from scratch – no prior data science, AI, or programming experience required, all fundamentals and prerequisites will be covered step by step.
- Industry-aligned curriculum designed for modern AI-driven environments, covering data science workflows, machine learning, deep learning, automation, and AI-powered applications.
31st Dec
Next Batch
04 Months
Course Duration
Hybrid
Online + Offline
5 LPA
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Advanced Certification Program in Data Science & AI
Advanced Certification Program
in Data Science & AI
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Jatin Sir
Ex Credit Suisse, Python
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About the Course
Advanced Certification in Data Science & AI
What is Data Science & AI all about?
Data Science and AI focus on extracting meaningful insights from data to support decision-making, optimize processes, and drive business value. While Data Science involves advanced techniques such as machine learning and AI, Data Analytics emphasizes analyzing historical data to identify trends, patterns, and actionable insights.
Key Aspects of Data Science & AI:
- Data Collection – Gathering structured and unstructured data from multiple sources, including databases, APIs, social media, and IoT devices.
- Data Cleaning & Preparation – Ensuring data accuracy, consistency, and completeness by handling missing values, duplicates, and inconsistencies.
- Data Processing & Transformation – Structuring raw data into an analyzable format using statistical and computational techniques.
- Exploratory Data Analysis (EDA) – Using statistical methods and visualization tools to detect patterns, correlations, and anomalies in data.
- Descriptive Analytics – Summarizing historical data to understand past trends and business performance.
- Diagnostic Analytics – Investigating past data to determine causes behind trends and anomalies.
- Predictive Analytics – Leveraging statistical models and machine learning to forecast future trends and behaviors based on historical data.
- Prescriptive Analytics – Providing actionable recommendations using optimization algorithms, AI, and advanced simulations.
- Data Visualization & Reporting – Communicating insights through dashboards, charts, and reports to facilitate informed decision-making.
- Business & Industry Applications – Applying analytics to areas like finance, marketing, healthcare, supply chain, and customer experience to improve efficiency and innovation.
Key Differences Between Data Science & AI:
- Data Science: Involves AI, machine learning, and predictive modeling for automation and intelligent decision-making.
Together, Data Science and Analytics play a crucial role in transforming raw data into valuable insights that drive strategic and operational decisions across various industries.
Who is a Data Scientist and Data Analyst?
Data Scientist:
A Data Scientist works with structured and unstructured data to build machine learning models and AI-driven solutions. They focus on predictive analytics, automation, and advanced data science techniques.
Key Skills:
- Programming (Python, R, SQL)
- Machine Learning, AI, Deep Learning
- Big Data (Hadoop, Spark)
- Data Wrangling & Visualization (Tableau, Power BI)
Why one should take Data Science Course?
With the explosion of data (Big Data) and its related fields, the demand for Data Science professionals has skyrocketed. Organizations across industries need experts who can collect, process, analyze, and interpret data to derive meaningful business insights and drive intelligent decision-making.
According to IBM, job openings in data-related fields were expected to grow between 200,000 to 700,000, highlighting the increasing demand for skilled professionals. Glassdoor ranks Data Scientist as the number one job, and the demand for Data Analysts, Data Engineers, and Big Data Architects continues to grow. Sectors like finance, telecom, retail, and insurance are leading the recruitment for data professionals.
A report from Indeed showed a 29% year-over-year increase in job postings for data scientists and analysts, with a 344% rise since 2013. However, job seeker interest is growing at a slower rate, creating a significant gap between demand and supply. As a result, Data Science skills are considered “high-demand” by top hiring platforms.
With businesses relying heavily on data-driven decision-making, professionals skilled in visualization, machine learning, and statistical modeling are being offered competitive salaries. India ranks as the second-highest country for hiring Data Science professionals, with 50,000+ job openings, second only to the United States.
This booming field offers lucrative career opportunities, making Data Science one of the most promising domains for the future.
What is the scope of Job Opportunities With Data Science Training?
The demand for Data Science professionals has surged in recent years, with India being the second-highest country for hiring in this domain, offering over 50,000 job opportunities. As organizations continue to rely on data-driven decision-making, careers in this field are expected to grow significantly.
If you complete a certification course in Data Science, your career prospects will expand, allowing you to apply for various high-paying roles, including:
Data Scientist – Responsible for collecting and analyzing large volumes of structured and unstructured data to generate actionable insights for solving complex business problems.
Average salary: ₹7,00,000 per annumData Engineer – Designs and builds reliable data infrastructures, ensuring data is transformed into a usable format for analysis and modeling. This role is critical in any data-driven organization.
Average salary: ₹10,00,000 per annum
Completing a Data Science certification can lead to an annual salary increase of 15%, with further growth as you gain experience and expand your skill set. With businesses across industries prioritizing data-driven strategies, this field offers some of the most promising and lucrative career opportunities.
Why Choose Ethans for Data Science?
This Data Science Training in Pune is the perfect choice for individuals looking to build a career in data-driven technologies. Whether you are a fresher, job seeker, or a professional aiming for a career shift, this course is designed to equip you with in-demand skills.
The training starts from the basics, covering Statistics, Mathematics, SQL, Exploratory Data Analysis (EDA), and Python programming, and progresses to advanced topics such as Machine Learning, AI, Business Analytics, Predictive Analytics, and Text Analytics.
Who Should Enroll?
- Freshers/Graduates
- Job Seekers
- Data Analysts & Business Analysts
- Database Administrators & IT Developers
- Networking Professionals
- Legacy Technology & Software Professionals looking for a career shift
With the growing demand for Big Data Analytics, this is the right time to step into the field. Our expert trainers and mentors will guide you throughout the training, ensuring you gain hands-on experience and industry-relevant skills. By the end of this program, you will be well-prepared for various roles in Data Science and ready to secure your place in this high-demand industry.
Syllabus
Advanced Certification in Data Science & AI
Data Science & AI Training Content
Python Essentials: Learn, Code, Create
- Python Basics: Learn to Code
- Introduction to Python Programming:
- Basic Data Types in Python
- Variables and Naming Conventions
- Data Types in Python:
- Data Structure
- Python String Object
- Python List and Tuple Objects
- Python Dictionary Object
- Python Set Object
- Indexing & Slicing:
- Importance of indexing in Python
- Introduction to Slicing
- Indexing and Slicing in Strings
- Indexing and Slicing in Lists and Tuples
- Operators in Python:
- Arithmetic Operators
- Comparison Operators
- Logical Operators
- Assignment Operators
- Membership Operators
- In-Built Functions & Methods:
- Exploring Built-in Functions
- Use Built-in Functions with data types
- Introducing Built-in Methods for specific data types
- Introduction to Python Programming:
- Python Control Flow Simplified
- Statements, Indentation and Conditionals:
- Statements and Indentation
- Introduction to Conditional Statements
- Combining Multiple Conditions
- Loops & Iterations:
- Conditional Loops (While Loop)
- Conditional Loops (For Loop)
- Master ‘for’ loops, Learn ‘while’ loops
- Comprehend loop control statements
- Explore nested loops
- Statements, Indentation and Conditionals:
- Building Smarter Programs
- Custom Functions in Python:
- Introduction to Custom Functions
- Defining and Calling Custom Functions in Python
- Working with Arguments and Return Values
- Advanced Looping Concepts:
- List Comprehension
- Set Comprehension
- Dictionary Comprehension
- Lambda Functions
- Custom Functions in Python:
- OOPs in Python:
- Introduction to Object-Oriented Programming (OOPs)
- Creating and Working with Classes
- Understanding Objects and Instances
- Working with Attributes
- Utilizing Methods in Classes
- Embracing Polymorphism
- Leveraging Inheritance
- Exception Handling & Logging:
- Introduction to Exception Handling
- Try-Except Block: Catching Exceptions
- Handling Specific Exceptions
- Finally Block: Cleaning Up After Exceptions
- Raising Exceptions: Taking Control
- Handling Multiple Exceptions: The Exceptional Mastery
Numerical Programming in Python
- Python Data Structures and Algorithms
- Data Structures Fundamentals:
- Introduction to Data Structures
- Arrays
- Efficient String Operations:
- Introduction to Strings
- Combining strings using concatenation (+)
- Searching and Finding
- Introduction to regex
- Recursion Fundamentals:
- Understanding Recursion: Introduction and Basics
- Recursive Function Design
- Implementing Recursion in Algorithms
- Analyzing Recursive Calls
- Mastering Recursion Concept:
- Time and space complexity
- Algorithm Fundamentals:
- Introduction to Algorithms
- Big O Notation
- Sorting Algorithms
- Searching Algorithms
- Data Structures Fundamentals:
- Python Data Wrangling
- Getting Started with Pandas & Numpy:
- Introduction to Pandas & Numpy
- Mastering Data Wrangling:
- Series and dataframes
- Indexing and slicing
- Manipulating data
- Advanced Data Wrangling Concepts:
- Introduction to Data Wrangling
- Handling Missing Data
- Merging and Joining Data
- Grouping and Aggregation
- Reshaping Data
- Filtering Data
- Data Wrangling – Code Optimisation:
- Techniques for Code Optimization
- Strategies for Parallel and Distributed Data Wrangling
- Best Practices for Efficient Data Wrangling
- Data Wrangling on Different Data Formats:
- Data Wrangling on Different Data Formats
- Data Management Libraries:
- File Management Libraries
- Data Manipulation Libraries
- Data Visualization Libraries
- Web Scraping
- Regular Expression Libraries
- Date and Time Libraries
- Web Scraping using Python:
- Introduction to Web Scraping
- Python Visualization Libraries in Action
- Data Visualization with Matplotlib & Seaborn:
- Introduction to Matplotlib and Seaborn Plots
- Data Visualization with Matplotlib & Seaborn:
- Getting Started with Pandas & Numpy:
Relational Databases
- Introduction to SQL: Learn the Lang. of Data
- SQL Basics for Data Analysis
- Introduction to SQL
- Setting up the SQL environment
- Basic SQL Commands
- Creating and Deleting Databases and Tables
- Importing and Exporting Data from CSV Files
- Fundamentals of SQL Query
- Anatomy of SQL Query
- SQL Data Types and Operators
- Filtering and Sorting Data in SQL
- Aggregate functions in SQL
- Dealing With Multiple Tables
- Grouping Data – GROUP BY
- HAVING
- Subqueries
- Joining tables using INNER JOIN, LEFT JOIN, RIGHT JOIN & FULL OUTER JOIN
- Alias in SQL queries
- Working with Multiple Tables Using Subqueries
- Using Set Operators
- Aggregating Data from Multiple Tables using GROUP BY and HAVING
- Advanced SQL Joins
- Advanced Join Techniques
- Joining multiple tables
- Handling duplicate records and eliminating duplicates
- Using UNION and UNION ALL to combine data from multiple tables
- SQL In-Built Functions
- Type Casting & Math Functions
- Mathematical Functions
- Type Conversion Functions
- Using CASE Statements to Perform Conditional Operations
- DateTime & String Functions
- Working with date/time data in SQL
- Date/time functions
- Formatting date/time data
- String manipulation functions (UPPER, LOWER, LEFT, RIGHT, etc.)
- Regular expressions in SQL for string operations
- Using CONCAT_WS to concatenate strings with a separator
- Window Functions
- Syntax of Windows Function
- Ranking functions (ROW_NUMBER, RANK, DENSE_RANK, etc.)
- Aggregate functions using windows (SUM, AVG, MAX, MIN, etc.)
- Partitioning data for window functions
- Understanding row-based vs aggregate-based window functions
Applied Statistics
- Maths Essentials
- Foundational Maths for DS
- Introduction to Linear Algebra
- Theory of Matrices
- Determinant of a Matrix
- Eigenvalues and Eigenvectors
- Advanced Maths for DS
- Calculus
- Differentiation
- Integration
- Maxima and Minima using derivatives
- Partial Derivatives
- Descriptive Statistics
- Probability Theory
- Introduction to probability theory
- Conditional probability and Bayes theorem
- Random variables and properties
- Data Summarization
- Introduction to data summarization
- Descriptive statistics and its uses
- Measures of central tendency
- Percentile and quartiles
- Skewness and kurtosis
- Outlier detection and treatment
- Discrete Probability Distributions
- Probability mass function
- Cumulative distribution function
- Distribution
- Continuous Probability Distributions
- Probability density function
- Cumulative distribution function
- Distribution
- Joint Distribution Concept
- Joint probability mass function
- Joint probability density function
- Covariance and correlation
- Multivariate normal distribution
- Mastering Inferential Statistics
- Sampling & Statistical Inference
- Introduction to Sampling
- Probability Sampling
- Non-Probability Sampling
- Sampling Bias and Estimation
- Sample Size Determination and Sum of Independent Random Variables
- Concept of Confidence
- Introduction to Confidence Levels
- Interpreting Confidence Intervals
- Choosing Appropriate Confidence Levels
- Hypothesis Testing
- Hypothesis
- Null and Alternative Hypotheses
- Type I and Type II Errors
- One-Tailed and Two-Tailed Tests
- P-Values
- Experimental Design
- Experimental Design
- Types of Experimental Design
- Hypothesis Testing
- Power Analysis
- Ethical Considerations
- Sampling & Statistical Inference
Machine Learning & AI
- Unlocking Machine Learning
- Introduction to ML
- Supervised and Unsupervised Algorithms
- Understand the Mechanisms Behind Machine Learning
- Mechanisms Behind Machine Learning
- Introduction to mechanism of Supervised
- Unsupervised and Deep Learning
- Supervised Learning – Regression
- What are supervised models?
- What is regression analysis?
- Types of Regression Models
- Supervised Learning – Classification
- Introduction to Supervised Models – Classification
- Logistic Regression
- What is logistic regression?
- Implementing logistic regression
- Evaluation Metrics used for Classification
- Defining the cost function
- Decision Trees
- What is a Decision Tree?
- How to split?
- Math Behind it
- Simple Implementation
- Advantages & Disadvantages
- Unsupervised Learning
- What is Unsupervised Learning?
- Introduction to Clustering
- K-Means Clustering
- Simple Example
- Expectation-Maximization
- Silhouette Analysis
- Elbow Method
- Implementation of K-Means
- Limitations
Deep Learning, NLP & GenAI
- Neural Networks
- Introduction to Neural Networks
- Forward Propagation
- Back Propagation
- Optimizer
- Loss Function
- Activation Function
- Introduction to NLP
- Introduction to Tokenization & Word-Embeddings
- RNN (Recurrent Neural Network)
- Introduction to RNNs
- RNN Architecture
- Training RNNs
- Applications of RNNs
- Advantages and Limitations
- Practical Examples
- Case Studies
- LSTM (Long Short-Term Memory)
- Introduction to LSTMs
- LSTM Architecture
- Training LSTMs
- Applications of LSTMs
- Advantages and Limitations
- Practical Examples
- Case Studies
- Gated Recurrent Unit (GRU)
- Introduction to GRU
- GRU vs LSTM
- GRU Architecture
- Advantages of GRU
- Implementation of GRU
Generative AI (GenAI)
- The GenAI Revolution
- Live demonstrations of AI capabilities (text, code, image generation)
- Real-world applications across industries
- Interactive segment: Hands-on experience with basic AI tools
- Personalized AI Applications: From Concept to Reality
- Personalized AI application on Ecommerce/Retail, etc.
- Interactive workshop: Building personalized AI solutions
- Technical Foundations: From User to Creator
- API integration fundamentals
- Advanced prompt engineering techniques
- Customization and fine-tuning strategies
- Performance optimization and scaling strategies
- Hands-on workshop: Building an AI-powered application
- Career Pathways
- Essential skills and knowledge domains
- Freelancing opportunities in AI development
- Interview preparation and industry requirements
- Guide to advanced learning resources and certifications
Features
Classroom Sessions
Ethans Pune delivers training designed to meet real-world demands, with strong emphasis on hands-on and project-based learning. Sessions are interactive, ensuring individual attention for every student. Learners also get access to online doubt-clearing sessions, recorded backup classes, and a discussion forum for continuous academic support.
Learning Management System
Our LMS provides free add-on courses to strengthen cross-functional skills required in the industry. Students can revisit recorded sessions from their ongoing batches and access structured study resources. These include assignments, projects, POCs, and reference materials that support learning across all modules and help reinforce key concepts.
Quiz, Assignments & POC's
Each course is supported with topic-wise quizzes, practical assignments, and interview-oriented tasks. Assignments are customized based on student skill level and project needs, typically requiring around one hour daily. These tasks simulate real company scenarios, ensuring hands-on exposure, along with complementary study material for every module.
FutureSkills Prime Certification
Ethans is an ISO 9001:2015 certified institute, offering certifications recognized across industries. After successful assessment by industry experts, students receive a course completion certificate endorsed by FutureSkills Prime. This certification adds credibility to your profile, strengthens your resume, and enhances opportunities upon course and project completion.
Real-life Case Studies
Ethans integrates real-time projects with practical business use cases into its curriculum. Students learn to understand business requirements, perform analysis, and solve implementation challenges. This hands-on approach bridges the gap between theory and practice, helping learners gain confidence by applying concepts to real-world industry scenarios.
Job Assistance Program
After completing a course, eligible students can opt for Ethans’ job assistance program. This includes resume building, profile optimization, and interview guidance. With a strong alumni network of over 5,000 members, job opportunities are regularly shared. Over 3,000 students have successfully placed across leading companies in India.
Learning Management System Here (LMS)
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Data Science & AI – Program Highlights
Accelerate your AI career with Ethan’s Tech’s Advanced Data Science & AI Certification, designed for aspiring data scientists, machine learning engineers, and AI professionals. This program takes you from data fundamentals to advanced AI model development and deployment.
- 15+ Hands-on Projects – Gain practical expertise by working on real-time data science projects and use cases across domains.
- Internship-Integrated Program in Data Science – Learn and apply your skills in real business scenarios with hands-on internship experience.
- Comprehensive Coverage – Master core concepts including Python, statistics, data analysis, machine learning, visualization, data cleaning and APIs.
- Tied-Up with 500+ Companies – Explore job opportunities with top recruiters hiring for data science roles.
- 100% Career Support – Access our unique POD hiring platform, career mentorship, and placement assistance.
- Master Analytics & Machine Learning – Learn how to automate data pipelines, build predictive models, and visualize insights for business decisions.
- Job Readiness Program – Includes resume building, mock interviews, and soft skill training to prepare you for data science interviews.
- Recognized Certification – Earn an industry-recognized certificate and receive dedicated support to launch your career in data science.
- Receive industry-recognized certification and 100% placement support, including resume building, mock interviews.
Up-Skill with an Industry-Recognized Certificate
Gain a competitive edge in the job market with our industry-recognized certification, designed to validate your skills and elevate your career.
Validated Certification from Ethans Tech
Receive a professional certificate that validates your expertise and is recognized across leading IT companies.
Training Backed by Real-World Expertise
Ethans Tech follows a practical, hands-on training approach aligned with industry needs, boosting your job readiness.
Professional Credential for Career Growth
Showcase your technical skills with a credible certificate that strengthens your portfolio and improves hiring prospects.
Internship Certificate by Nexgen Analytix
Gain an official internship certificate showcasing your practical experience and real-time project exposure.
Verified Industry Internship Recognition
Highlight your applied skills, teamwork, and domain knowledge through a certificate trusted by employers.
Career-Boosting Professional Doc
Add the internship certificate to your resume and LinkedIn to demonstrate hands-on experience and industry exposure.
Master 12+ In-demand Skills in Data Science & AI
- Data Science & AI Fundamentals
- Data Visualization (Matplotlib, Seaborn, Tableau)
- Model Evaluation & Tuning
- Python/R for Data Science
- Machine Learning Algorithms
- Big Data Tools & SQL
- Data Collection & Cleaning
- Statistics & Probability
- Natural Language Processing (NLP)
- Exploratory Data Analysis (EDA)
- Deep Learning & Neural Networks
- Data Science Project Deployment
Why to Join this Program
Guest Lectures by IIT professors
Learn directly from top IIT faculty through hands-on, real-time sessions
Ethan’s Tech Career Track
Flexible timelines to complete your course and projects at your own pace
IIT Approved Mentors
Get personalized guidance and career insights from experienced professionals
Advance Curriculum
Master concepts from basic to expert level through structured, applied learning
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Why Choose Ethan’s Tech?
OTHERS
- Breadth and Depth of Curriculum
- Beginner-Friendly Bootcamp
- GenAI Integration
- Specialised Paths
- Projects Experience
- Alumni & Outcomes
- Hands-On Learning Model
- Mentorship & Faculty Access
- Comprehensive
- Structured Start
- Fully Applied
- Multiple Tracks
- Real-World & Personalized
- Large Network
- Applied & Practical
- Expert-Led
- Limited
- No On-Ramp
- Light Touch
- One Track
- Minimal & Fixed
- Small Base
- Theory-Heavy
- Basic Support
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What our Students Say
Ethan’s Tech played a key role in shaping my Python development skills. The course focused on core concepts with real-world applications. Trainers explained topics clearly and provided support. This training helped me gain confidence and secure my role as Python Developer at Automata Pvt. Ltd.
Sarthak Arsul
Cloud Engineer | Minutus Computing
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Ethans Tech is a leading professional training institute founded with the mission to bridge the gap between academic learning and real-world skills. With a strong presence in Pune and expanding across India, Ethans Tech has trained thousands of students and working professionals, helping them upgrade their careers in the most in-demand technologies.
The name “Ethans” represents a commitment to “education with excellence”. It’s not just a name; it’s a culture — built by passionate industry experts who believe in practical, hands-on learning rather than rote education. Every trainer at Ethan’s is a seasoned professional with real industry exposure, making the learning experience highly relevant, practical, and impactful.
At Ethans, it’s not just about completing a course — it’s about building a career.
Ethans Tech is a premier professional training institute dedicated to bridging the gap between academic education and real-world industry skills. Headquartered in Pune and expanding across India, Ethans Tech has empowered thousands of students and working professionals to advance their careers in today’s most in-demand technologies. With experienced industry trainers and a strong focus on practical, hands-on learning, the institute ensures highly relevant and career-oriented training that prepares learners to succeed in the professional world.
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Learners Profile
- 11% – College Graduates (Non-technical backgrounds)
- 23% – B.Tech & M.Tech Graduates (CS, IT, ME, CIVIL)
- 27% – BCA, B.Sc (IT/CS/Maths/Stats) Graduates
- 23% – Early Career Professionals (1–6 years of experience)
- 16% – Career Comeback Learners (with a gap in education or employment)
This blend of learners adds immense value to the learning experience — offering unique perspectives, fresh ideas, and real-world context to every session
Learner Profiles & Trusted Companies
Advanced Certification in Data Science & AI FAQs
Everything you need to know about the program.
What are the prerequisites for Advance Certification in Data Science & AI Training in Pune?
Our program contains all the basic concepts needed to grab the data science & AI technique which includes logical building, programming techniques, data warehousing concepts, SQL, statistics and linear algebra.
Who should go for Advance Certification in Data Science & AI in Pune?
What if I have queries after I complete this course?
Who are the instructors?
Will Ethans be providing any study materials?
What types of courses are available at Ethans?
Does Ethans provide Job Assistance?
Does Ethans provide weekend classes for professionals?
What are the profiles and experiences of trainers at Ethans?
Do I need to pay the complete fee lump sum or I can have an installment facility too?
The fee which I will pay is refundable or transferable?
Does Ethans provide facility to repeat the batch?
Does Ethan's conduct training at Corporates?
Yes, we are frequently engaged in corporate training being the market leader with a big pool of corporate trainers having a wide network with collaboration with several top MNC’S that ultimately becomes an add-on for placing our students with such references.
What is the admission procedure at Ethans?
Basically, there are two ways of registering with Ethans Tech, Online and Offline. In terms of Online, you just need to visit the enrollment tab on your website – www.ethans.co.in which will redirect you to the enrollment form, wherein you need to fill all your essential details and proceed further by paying Rs. 5000/- as the registration fees (inclusive of your standard course fees) For Offline admission, you can can contact and visit any of your nearest Ethans branch and carry out the further formalities under the guidance of the team at Ethans Desk.