Business Analytics for Beginners
Business Analytics for Beginners
Business Analytics Certification for Beginners course introduces the essentials of data analysis and decision-making. This course covers data visualization, basic statistics, and predictive modeling, using popular analytics tools. It's perfect for anyone looking to start a career in business analytics or enhance their data-driven decision-making skills.
The "Business Analytics Certification for Beginners" course provides a comprehensive introduction to the core principles and techniques of data analysis and decision-making. Designed for those new to the field, this course covers the foundational elements necessary to understand and apply business analytics effectively. By the end of this course, participants will be equipped with the essential skills needed to start a career in business analytics or to enhance their current role with data-driven decision-making capabilities. Whether you are a recent graduate, a professional looking to pivot into analytics, or someone aiming to sharpen their analytical skills, this certification offers the perfect foundation to build your expertise in business analytics.
- Data Visualization: Learn how to represent data graphically using charts, graphs, and dashboards to uncover patterns, trends, and insights. This section emphasizes the importance of clear and effective visual communication to aid in data interpretation and decision-making.
- Basic Statistics: Gain a solid grounding in statistical concepts, including measures of central tendency, variability, and probability distributions. Understand how to apply statistical methods to analyze data, test hypotheses, and make informed business decisions.
- Predictive Modeling: Discover the fundamentals of building predictive models to forecast future trends and behaviors. This module covers techniques such as regression analysis, classification, and time-series forecasting, providing the tools to anticipate outcomes and drive strategic planning.
- Popular Analytics Tools: Get hands-on experience with widely-used analytics software and tools, such as Microsoft Excel, Tableau, and Python. Learn how to leverage these tools to manipulate data, perform complex analyses, and generate actionable insights.
- Real-World Applications: Apply your knowledge to practical scenarios and case studies, demonstrating how business analytics can solve problems and optimize performance across various industries. This practical approach ensures you can translate theoretical knowledge into real-world skills.
By the end of this course, you'll have the necessary tools to lead confidently, able to achieve faster and better analysis , and drive success in an AI-powered world.
Below is the module-by-module breakdown for each day of the 5-day program:
- Morning Session (4 hours): Overview of business analytics, its importance, and applications in various industries. Introduction to basic statistics and data interpretation.
- Afternoon Session (3 hours): Hands-on with Excel: learning basic functions, formulas, and data entry techniques essential for analytics
- Morning Session (4 hours): Introduction to data management tools and database concepts. Understanding data cleaning and preparation.
- Afternoon Session (3 hours): Visualizing data using tools like Tableau and Power BI, creating basic charts and dashboards.
- Morning Session (4 hours): Learning to describe and summarize datasets, exploring measures of central tendency, dispersion, and correlation.
- Afternoon Session (3 hours): Practical exercises in Excel and Tableau, applying descriptive analytics to sample business scenarios.
- Morning Session (4 hours): Introduction to predictive modeling, understanding regression analysis, and classification techniques.
- Afternoon Session (3 hours): Hands-on practice building predictive models using Excel and an introduction to Python for more complex analytics.
- Morning Session (4 hours): Case studies on how analytics influence business decisions. Introduction to prescriptive analytics.
- Afternoon Session (3 hours): Group project: participants apply learned skills to solve a real business problem, followed by presentations and feedback.
- Course Wrap-Up: Review of key concepts, discussion on how to continue learning and applying analytics skills, and certificate distribution.
Who should do this course?
- Small Business Owners: Entrepreneurs needing analytics to drive business decisions.
- Marketing Professionals: Staff who utilize data to optimize marketing strategies.
- Project Managers: Leaders who rely on data-driven insights for project planning.
- Aspiring Business Analysts: Individuals looking to enter the field of business analytics.