Are you ready to kick-start on a journey into the world of data science? Whether you're an aspiring data scientist, a business professional looking to enhance your analytical skills, or someone curious about the power of data, our comprehensive curriculum has got you covered. With a focus on practical skills and real-world applications, our course will equip you with the tools and knowledge needed to thrive in today's data-driven world.
Key Highlights
Immersive Data Science Course Training Classroom Experience
Hands-on Training By Industry Experts
Industry Case Studies and Assignments
Data Science Course Modules Integrated with Generative AI
No Cost EMI Options Available
Real-World Projects and Case Studies
1:1 Career Mentorship Sessions
120+ Hours of Learning & Practical Exercises
360 Degree Career Support
Immersive Plus Online Blended Learning
Practical Hands-on Capstone Projects
(1:1) Job Interview Preparation
30+ Programming Tools & Technologies
Live Data Science Course DoubtBuster Sessions
Python: Dive into one of the most versatile programming languages for data science. Learn Python fundamentals and explore its applications in data manipulation, analysis, and visualization using libraries like Pandas, NumPy, and Matplotlib.
Excel: Master the art of data manipulation and analysis using Excel, a powerful tool for organizing and visualizing data. Explore advanced Excel functions, pivot tables, and data modeling techniques to extract insights from complex datasets.
SQL: Unlock the power of databases with SQL (Structured Query Language). Learn how to query, manipulate, and manage data stored in relational databases efficiently. Gain hands-on experience with SQL syntax, database design, and optimization techniques.
Power BI: Transform raw data into interactive and insightful visualizations with Power BI. Discover how to create dynamic dashboards, reports, and data models to communicate your findings effectively to stakeholders.
Tableau: Explore the art of data storytelling with Tableau, a leading visualization tool in the industry. Learn how to create interactive visualizations, dashboards, and maps to uncover patterns and trends in your data.
Statistics (Stats): Build a solid foundation in statistics essential for data analysis. Explore descriptive and inferential statistics, hypothesis testing, probability distributions, and regression analysis to make informed decisions based on data.
Machine Learning: Delve into the exciting field of machine learning and predictive analytics. Learn fundamental concepts such as supervised and unsupervised learning, classification, regression, clustering, and model evaluation techniques.
Deep Learning: Take your understanding of machine learning to the next level with deep learning. Explore neural networks, deep neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and natural language processing (NLP) for advanced data analysis and pattern recognition.
Features of Course
Applicants submit an online form with
key profile
details for the desired course..
Our academic team meticulously reviews applications. Qualified candidates then receive a guidance call from a seasoned counselor, who assists in choosing the ideal learning path tailored to their career aspirations.
Accepted applicants receive admission offers. Upon acceptance, they finalize enrollment by submitting required documents, fees, and attending an orientation session to commence their education journey.