learn Data science
6 months
(3 hours/day)
44 students/ class
₹ 45,000
(Books are included)
course syallabus
Introduction
Data Science is an interdisciplinary field that combines statistical methods,
programming skills, and domain expertise to extract valuable insights from
structured and unstructured data. This course equips participants with the
tools and techniques to gather, process, analyze, and visualize data to solve
complex business challenges. By leveraging concepts from statistics, machine learning,
and data engineering, data scientists help organizations make informed, data-driven decisions.
This course provides a robust foundation in data science, covering essential tools like Python,
R, SQL, and visualization platforms such as Tableau and Power BI. Participants will also explore
key topics like exploratory data analysis, predictive modeling, and big data frameworks like Hadoop
and Spark. With a focus on practical, hands-on learning, this course prepares participants to tackle
real-world data problems across industries.
Objectives
After this course student will be able to:
- Understand the lifecycle of data science projects.
- Learn to clean, preprocess, and manipulate datasets.
- Master programming languages like Python or R for data analysis.
- Build predictive models using machine learning techniques.
- Gain expertise in data visualization with tools like Tableau or Power BI.
- Learn statistical methods and their applications in data science.
- Handle large datasets using big data tools like Hadoop and Spark.
- Understand the role of Artificial Intelligence in Data Science.
- Work on real-world projects to solve business challenges.
- Develop skills in presenting and communicating data insights effectively.
Certification
Participants will receive a Data Science Professional Certification upon successfully completing the course, assignments, and a capstone project. This certification is widely recognized in the industry and enhances career prospects.
Who can apply for this course?
- Fresh graduates aiming for a career in Data Science.
- IT professionals transitioning into data-driven roles.
- Business analysts looking to expand their technical expertise.
- Academics and researchers working with data-intensive projects.
- Entrepreneurs and business owners who want to leverage data for growth.
- Anyone passionate about data and its applications in solving real-world problems.
Training Methodology
- Interactive Live Sessions: Expert-led sessions covering theoretical and practical concepts.
- Hands-On Learning: Projects and exercises using real-world datasets.
- Case Studies: Analysis of industry-relevant challenges and solutions.
- Tool Training: Master Python, R, SQL, Tableau, and Power BI.
- Assessments: Regular quizzes, coding challenges, and assignments.
- Collaborative Learning: Group projects and peer discussions.
- Capstone Project: A comprehensive, industry-focused project to demonstrate skills.
- Support: Access to mentors and a community of data enthusiasts.
