Data Analytics (Python & R)
Overview This industry-oriented Data Analytics (Python & R) program equips learners with practical skills in data cleaning, transformation, exploratory data […]
Course Description
Overview
This industry-oriented Data Analytics (Python & R) program equips learners with practical skills in data cleaning, transformation, exploratory data analysis (EDA), statistical analysis, and data visualization using Python and R. The course emphasizes analyzing real-world datasets, identifying trends, and generating meaningful business insights to support data-driven decision-making. Through hands-on practical exercises, industry case studies, and project-based learning, learners gain the expertise required to solve business problems using modern data analytics tools and techniques.
Duration & Eligibility
- Duration: 2 months (8 weeks) combining classroom instruction, practical lab sessions, hands-on exercises, assignments, and project-based learning.
- Eligibility: 10th pass and above; suitable for students, graduates, and working professionals interested in data analytics, business intelligence, and data science.
Learning Outcomes
- Understand the fundamentals of Data Analytics using Python and R.
- Perform data cleaning and transformation on real-world datasets.
- Conduct Exploratory Data Analysis (EDA) to identify patterns and trends.
- Create meaningful data visualizations using Python and R libraries.
- Apply statistical analysis techniques for business decision-making.
- Generate business insights and professional analytical reports from data.
Career Opportunities
- Data Analyst
- Business Intelligence Analyst
- Python Data Analyst
- Junior Data Scientist
- Reporting Analyst
- Analytics Executive
- Business Analyst
- Data Analytics Associate
Your Instructors
At MSDC, our instructors are the heartbeat of our programs. They embody a rich blend of academic excellence and real-world expertise, ensuring an immersive and practical learning experience for our students. Each instructor is meticulously selected, not only for their depth of knowledge but also for their ability to inspire and guide.
