Guaranteed to bridge the gap between data science and business strategy – enabling you to make success of your data backed decisions. This course is designed for aspiring and practicing business analysts who wish to advance their analytical skills and grasp how data science tools and methodology can be applied in a real world, business environment. Along the way, you’ll learn how to distill complex data into meaningful insights that bring stakeholders insight.

You will explore data visualization, statistical analysis and predictive modeling with case studies and hands on exercises. By the end of this course, you’ll have the skills necessary to work with data science teams, create business value, and become an essential piece of any organization using data.

What You’ll Learn:

• Foundations of Data Science: Understand the core concepts of data science and its role in business decision-making.
• Data Visualization: Master tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to create compelling visualizations.
• Data Analytics for Business: Learn descriptive, diagnostic, predictive, and prescriptive analytics to identify patterns and trends.
• Statistical Techniques: Explore key statistical methods for business analysis, such as regression and hypothesis testing.
• Collaboration with Data Teams: Gain the knowledge to work effectively with data scientists and engineers.
• Reporting and Communication: Develop skills to present data insights in a clear, impactful manner to stakeholders.

This Course Includes:

• 20+ Hours of Video Tutorials: Comprehensive lessons covering all aspects of business analytics in data science.
• Case Studies: Hands-on projects across industries like finance, healthcare, and marketing.
• Datasets and Exercises: Practice working with real-world data to solve business challenges.
• Capstone Project: Apply what you’ve learned to solve a business problem using data analytics.
• Certification: Earn a professional certification to enhance your career credentials.