Data Science

Transform data into actionable insights and drive business decisions

About This Course

Our Data Science program equips you with the skills to analyze complex datasets and extract meaningful insights. You'll learn to use cutting-edge tools and techniques in machine learning, statistical analysis, and data visualization to solve real-world problems and drive data-informed decision making.

What You'll Learn

This course provides a strong foundation in **Python for Data Science**, enabling learners to effectively manipulate data and build algorithms. You will also gain a deep understanding of **Statistical Analysis & Mathematics**, essential for making data-driven decisions and building robust models. The course covers advanced topics like **Machine Learning Algorithms**, where you'll explore techniques for predictive modeling and decision-making, as well as **Deep Learning & Neural Networks**, offering insights into artificial intelligence and complex pattern recognition.

Additionally, you'll learn how to present your findings through **Data Visualization** using tools like **Tableau** and **Power BI**. The course also delves into **Big Data Technologies**, equipping you with the skills to manage and analyze large datasets. You'll become proficient in **SQL & Database Management**, essential for querying databases and managing data. Lastly, the course teaches effective **Data Science Project Management**, ensuring you can plan and execute data science projects from start to finish, applying your skills in real-world scenarios.

Career Opportunities

• Data Scientist
• Data Analyst
• Machine Learning Engineer
• Business Intelligence Analyst
• Data Engineer
• AI Researcher
• Analytics Consultant

100,000/=

Next Intake

January 2025

Duration

12 Months

Mode

On-Campus & Online

Certification

IBM Data Science

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Frequently Asked Questions

Everything you need to know about the program

Who is this course for?

This course is perfect for analytical minds interested in extracting insights from data. Ideal for those with a background in mathematics, statistics, or programming, as well as professionals looking to transition into data-driven roles.

What are the prerequisites?

• Basic mathematics & statistics knowledge
• Proficiency in English
• A laptop with minimum 8GB RAM
• Analytical thinking skills
• Basic programming knowledge (recommended)

Why study at RIT?

• Industry-aligned curriculum
• Real-world projects
• Advanced analytics tools
• Expert instructors
• Career placement support
• Industry partnerships

What support is provided?

• One-on-one mentoring
• Data science project guidance
• Industry networking events
• Interview preparation
• Job placement assistance
• Access to data science tools