16 Hours Only Business Analytics Training Course Rotterdam
Event Information
About this Event
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
- April 27, 2021 - May 20, 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 April 27, 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