This course structure provides a step-by-step introduction to data analysis, Python, machine learning, deep learning and AI without overwhelming students with technical details. It focuses on practical skills and real-world applications to make the content accessible to those without a technical background.
Data Science AI/ML is in demand.
Data Science Ai & ML is rated as one of the happiest professions.
Data Science Engineer has a great career path.
Course | Date | Timings | Duration | Trainer | Training Mode |
---|---|---|---|---|---|
Data Science AI/ML Placement Program | 14-Oct-2025 | 08:00 AM - 09:30 AM | 5 Months | Mr. Arun | Offline / Online |
In this course you will get an introduction to the main tools and ideas which are required for Data Scientist/Business Analyst/Data Analyst/Analytics Manager/Actuarial Scientist/Business Analytic Practitioners. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. The course is a combination of various data science concepts such as machine learning, visualization, data mining, programming, data mugging, etc. There are three components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is manual calculations will be shown on how formulae’s are used behind the logics. The third is a practical introduction to the tools that will be used in the program like R/Python Programming and EXCEL.
Introduction to Programming and Python Basics
Python Fundamentals
Input and Output
Decision Making and Loops
More on Loops and Pattern Printing
Lists and Functions
Advanced Data Types
File Handling and Exceptions
Libraries and Modules
Getting Started with Data Analysis
Understanding Data Tools and Libraries
Exploring Data with Pandas
Introduction to Descriptive Statistics
Introduction to Python for Data Analysis
Data Analysis with Pandas
Introduction to Data Visualization
Exploring Descriptive and Inferential Statistics
Understanding Machine Learning
Machine Learning Fundamentals
Classification
Regression
Clustering
Dimensionality Reduction
NLP Basics
Advanced NLP Topics
Image Basics
Advanced Topics
Reinforcement Learning Basics
AI Applications
Deep Learning Fundamentals
Advanced Deep Learning Topics
Ethical Considerations
Future Trends
Structure your learning and get a certificate to prove it.
Our Data Science Training is 5 months duration.
Daily 1.5 hour theory + 1.5 hour practical session.
Monday to Saturday Sessions.
Any graduate BSC, BCom, B.Tech, MSC, MCA etc. with good communication skills can do this course and start your career as Data Science Engineer. And also working professionals (BPO / Banking / Sales / Customer Care etc.,) who want to change their domain
Our training will be a blend of theoretical and practical work on each topic. We also provide live exposure on projects and give assignments to improve your skill set.
Yes, you are going to work on real-time projects during learning to gain real-time projects experience.
After completion of training, you will receive a certificate of completion, which you can share with your friends, relatives, co-workers and potential employers.
Yes, you’ll be able to access your enrolled course materials through our Learning Management System. Practical Assignments, Day-to-Day Class videos and readings you can access through our LMS App.
Structure your learning and get a certificate to prove it.
QEdge Technologies was established by team of enthusiastic industry professionals from various organizations with the vision of providing IT training to fill the gap between industry requirement and learning.
QEdge Technologies