This event has been UPDATED since it was first published. View the UPDATED & Detailed Business Analytics Training course for beginners Information here.

16 Hours Only Business Analytics training is a 4 weeks long Instructor-led and guided training with Practical Hands-On Lab exercises to be taught over 4 Weeks, 2 sessions per week, 2 hours per session.

• The medium of instruction is English.
• All Published Ticket Prices are in US Dollars.

16 Hours Business Analytics Training Course Schedule

• March 18, 2021 - April 13, 2021 US Pacific time
• 4 Weeks | 2 Hours on Tuesdays, 2 Hours on Thursdays every week US Pacific time
• 8:30 AM - 10:30 AM US Pacific time each of those days
• Please click here to add your city name and check your local date and time for the first session to be held on March 18, 2021 at 8:30 AM US Pacific Time.

Features and Benefits

• 4 weeks, 8 sessions, 16 hours of total Instructor-led and guided training
• Training material, instructor handouts and access to useful resources on the cloud provided
• Practical Hands-on Lab exercises provided
• Actual code and scripts provided
• Real-life Scenarios

Course Objectives

Data analysis is critical for business success. There is an increasing demand for professionals with the ability to analyze, understand, and articulate data analytics.

• This business analytics course will provide you with the hands-on skills and knowledge to analyze, present findings, and reach meaningful conclusions about data in a business setting.
• By the end of this course, you will have the ability to offer valuable insights by recognizing, interpreting, and summarizing your company's data.
• This course covers many business analytics topics, including Data Collection, Data Visualizations, Descriptive Statistics, Basic Probability, Statistical Inference, and Creating Linear Models.
• This course will use real-life datasets.

Who can take this course

This is a practical hands-on course for anyone looking for a grasp on business analytics. Since it’s a beginner level course, no prior background or experience in business analysis is needed. Only working knowledge of Excel is suggested.

Course Outline

• Foundational and practical skills and knowledge to analyze and understand data
• How to present findings effectively and draw meaningful conclusions about data.
• Latest modelling techniques and advanced Excel functions.
• Data Collection, Data Visualizations, Descriptive Statistics, Basic Probability, Statistical Inference, and Creating Linear Models.
• Learn to recognize, interpret, summarize data and offer valuable insights
• Learn descriptive statistics and basic probability concepts
• Cover Inferential statistics such as confidence intervals and hypothesis testing
• Learn to build basic Excel models for revenue, cost, and profit
• Understand how to apply fundamental analytics to common business decisions
• Basic data types, sampling methods, surveys, and data visualization
• Popular descriptive statistics and basic probability concepts
• Inferential statistics such as confidence intervals and hypothesis testing
• Basic Excel modeling building for revenue, cost, and profit
• How to apply fundamental analytics to common business decisions