Course Overview
Unlock the power of data in this Intermediate Data Science course designed for those ready to elevate their skills and make an impact in today’s data-driven world. Whether you are a student, recent graduate, or professional, this course will equip you with the essential tools and techniques needed to tackle real-world data challenges.
- 🌟 Hands-On Projects: Engage in practical projects that mirror industry challenges, allowing you to apply your quantitative skills to solve real problems.
- 📊 Advanced Statistical Techniques: Deepen your understanding of statistical methods and learn how to interpret complex data sets effectively.
- 🤖 Machine Learning Essentials: Explore the fundamentals of machine learning and predictive modeling to enhance your analytical capabilities.
- 💻 Data Visualization: Master data visualization tools and techniques to present your findings in a compelling and understandable manner.
- 📈 Decision-Making Skills: Develop your data-driven decision-making skills, essential for success in business analysis, marketing, finance, and more.
- 🔧 Tool Proficiency: Gain hands-on experience with popular data science tools and programming languages, including Python, R, and SQL.
By the end of this course, you will be well-prepared to tackle data science projects with confidence and enhance your employability in a rapidly evolving job market. Join us to transform your analytical skills into actionable insights!
Course Features
2 Years Portal Access
Community Group Chat
Live Sessions
Practice Assignments
Regular Quizzes
Completion Certificate
Whom is this course for?
- Students or graduates in quantitative fields who are seeking to apply their knowledge in real-world data science projects and enhance their employability.
- Professionals working in fields such as business analysis, marketing, or finance who want to enhance their data-driven decision-making skills.
- Individuals with a foundational understanding of programming and statistics looking to deepen their knowledge of data science techniques and tools.
- Data analysts or researchers who wish to expand their skill set to include machine learning and predictive modeling.
Course Modules
Data Exploration
Statistical Analysis
Machine Learning
Data Visualization
Predictive Modeling
Big Data
Data Ethics
Model Evaluation
Detailed Syllabus
Class Schedule (IST)
Duration: 1 Months
Total Hours: 17 hours
