Join Pune's Top Data Science Classes Today- 100% Placement Guarantee!
Build your "Data Science with AI" career in Pune with our guaranteed job placement program!
- Earn a recognized Data Science certification
- Learn AI, ML, Python, SQL, Deep Learning, Frameworks, Statistics
- Work on industry-based Live Projects
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- 3-6 MonthsCourse
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- Real TimeProjects
- 10+ LearningTools
- 2000+ StudentsPlaced
- 30LPA(Highest Salary)
- 350+ HiringPartners
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Key Highlights of our Data Science and Artificial Intelligence Course
100% Job Assurance (Unlimited Interview Calls)
Practical Based Learning Module
Data Science Certification Program
Weekly/Weekend Flexible Batches
Expert Mentorship and 24/7 Support
Career Guidance and Personalized Resume Building Assistance
Data Science Curriculum
Foundation
Start your journey with a strong foundation in Data Science. This module is designed to equip you with the essential knowledge and skills needed to excel in the field. Through comprehensive lessons and hands-on projects, you'll gain a deep understanding of the core concepts, setting you up for success in the more advanced tracks that follow.
Basic Programming for Data ScienceFoundation
This course module introduces learners to basic programming concepts, including variables, data types, control structures, and functions. It covers topics such as data types, variables, operators, loops, conditionals, and functions, along with practical programming examples and exercises.
What will you achieve?
- Understanding of basic programming concepts
- Familiarity with various programming languages
- Practical programming skills
Topics Covered
Core Track
Python ProgrammingCore Track
The course module immerses learners in Python programming, guiding them through the use of various Python data science libraries to perform critical tasks such as mathematical computations and data manipulation. Additionally, it covers data visualization techniques using Python.
What will you achieve?
- Proficiency in Python Programming
- Mastery of Data Science Libraries
- Practical Data Analysis Skills
Topics Covered
- Python Introduction
- Control Structures
- Functions
- Working with Strings
- Object Oriented Programming (OOPS)
- Modules and Packages
- File Handling
- Error and Exception Handling
- Working with Libraries (NumPy, pandas, Matplotlib etc)
- Data Visualization
SQLCore Track
This module introduces learners to SQL programming, covering essential techniques for querying databases and creating datasets for data analysis. You will learn how to write efficient SQL queries, manipulate data, and prepare it for comprehensive analysis. By the end of this course, you will have the skills to interact with databases and perform data extraction and transformation tasks proficiently.
What will you achieve?
- Proficiency in writing SQL queries.
- Ability to retrieve and manipulate data from databases.
- Skills to create and manage datasets for analysis.
- Understanding of data extraction and transformation techniques.
Topics Covered
- Introduction to SQL and databases
- Writing basic SQL queries
- Filtering and sorting data
- Joining tables and combining data
- Aggregating data with GROUP BY and HAVING
- Subqueries and nested queries
- Data manipulation with INSERT, UPDATE, and DELETE
- Creating and managing tables and schemas
- Optimizing queries for performance
Machine LearningCore Track
This module offers a comprehensive introduction to machine learning, detailing how various algorithms function and their applications. You will explore model optimization and tuning techniques, gaining insights into how organizations leverage machine learning to address challenges and drive growth.
What will you achieve?
- Understand key machine learning algorithms.
- Optimize and tune models.
- Learn how ML is used in real-world business applications.
- Evaluate and improve model performance.
Topics Covered
- Introduction to machine learning
- Overview of key ML algorithms
- Model optimization techniques
- Hyperparameter tuning
- Evaluating model performance
- Real-world ML applications
- Case studies of ML in business
StatisticsCore Track
This module introduces learners to the fundamentals of statistics, focusing on how to review, analyze, and interpret data effectively. You will apply mathematical models to relevant variables, enhancing your ability to draw meaningful conclusions and conduct robust data analysis.
What will you achieve?
- Grasp essential statistical concepts.
- Analyze and interpret data effectively.
- Apply mathematical models for accurate data analysis.
- Draw actionable insights from data.
Topics Covered
- Introduction to statistics for data science
- Random Variables
- Descriptive Statistics
- Measure of Central Tendency
- Probability concepts and distributions
- Standard Deviation
- Regression analysis and correlation
- Bias variance trade-off
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