4 Weekends Business Analytics training Course is Instructor-led and guided and is being delivered October 3, 2020 - October 25, 2020.
About this Event
4 Weekends Business Analytics training Course is Instructor-led and guided and is being delivered October 3, 2020 - October 25, 2020 US Pacific time for 16 hours over 4 weekends, 8 sessions, 2 sessions per week, 2 hours per session.
All Published Ticket Prices are in US Dollars
The course will be taught in English language
4 Weekends Business Analytics Training Course Schedule
October 3, 2020 - October 25, 2020 US Pacific time
4 Weekends | 2 Hours on Saturdays, 2 Hours on Sundays 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 October 3, 2020 at 8.30 AM US Pacific Time
Features and Benefits
4 Weekends, 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
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.
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