Course HighlightsCOURSE
IBM Online Courses
Statistics 101

Statistics 101

Discover the fundamentals of statistics. Learn about descriptive statistics, variance, probability, correlation, and data visualization.

Build critical skills in this core competency and kick-start your career in data science or artificial intelligence.

Statistics 101 Highlights

  Course duration

Duration

  • 2 weeks, online
    3-4 hours/week
   Course Fee

Fee

US$ 99 - US$ 199
Course duration

Duration

  • 2 weeks, online
    3-4 hours/week
Course Fee

Fee

US$ 99 - US$ 199

Statistics is used in many areas of business and particularly in emerging technologies. Data science, artificial intelligence, and big data all require strong statistics skills. As a result, organizations are actively seeking individuals with proven competency in this domain.

Statistics 101 is a beginner's course covering the fundamentals of statistics. You will build your understanding of mean, mode, and median. You will learn about standard deviation using examples from basketball. You will discover the world of probability with dice. Plus, you will learn what it means to group data by categorical variables and how to transform data into appropriate graphs and charts. In the final module, using an open dataset, you will then get practical experience using statistics to analyze data to establish whether good looking professors get better teaching evaluations. 

For individuals keen to build their statistical skills for a career in data science or artificial intelligence, Statistics 101 is the ideal place to start. 

This IBM certified course comprises five purposely designed modules that take you on a carefully defined learning journey.

It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 3-4 hours per week, you will complete the course in 2 weeks. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And don’t worry, you’re not alone! You will be encouraged to stay connected with your learning community and mentors through the course discussion space.

The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include videos, reading material, and online exam questions.

As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services will vary across packages.

Once you have successfully completed the course, you will earn your IBM Certificate.

After completing this course you will have a good understanding of:

  • Descriptive statistics
  • Variance
  • Probability
  • Correlation
  • Data visualization
  • Statistics with SPSS

This course is suitable for:

  • Data engineers
  • Data architect
  • Database Administrators
  • Individuals keen to develop fundamental skills in statistics

None

Course Outline

Welcome Video from Professor Murtaza Haider!

About this course

Module 1 - Welcome to Statistics

Module 2 - Descriptive Statistics

Module 3 - Advanced Descriptive Statistics

Module 4 - Visualization

Module 5 - “From Start to Finish: Beauty Pays Data”

Final Exam

Certificate

Course Certificate

Earn your certificate

Once you have completed this course, you will earn your certificate.

Preview digital certificate
Statistics 101

Course details

Course Certificate

Certificate

  • IBM Certificate
About Course

About this course

  • 05 Modules
  • 06 Skills
Course Includes

Includes

  • Discussion space
  • 06 Hands-on labs
  • 26 Videos
  • 05 Review questions
  • 01 Final exam
Course Learning

Create

  • Bar charts
  • Scatterplots
  • Histograms
  • Boxplots
  • Lineplots
  • Timeseries
  • Statistical charts
Course Exercises

Exercises to explore

  • Install and run SPSS statistics
  • Import data into SPSS statistics
  • Descriptive statistics
  • Advanced descriptive statistics
  • Data visualization: bar chart, scatter plot, histogram, box plot
  • Does beauty pay?
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FAQs

Statistics can be applied in a variety of domains, including agriculture, government, private sector, computer science, scientific research, health sciences, travel, manufacturing, online businesses, food, aerospace, music, entertainment etc. There are now few industries, if any, that don’t include the use of statistics at some level.  

Statistics have a very wide range of uses. Examples of where statistical data and statistical analysis tools are used include business planning, economics, data science, AI, machine learning, finance, climate change, industry analysis, engineering, and more. A wide range of business and economic problems are analyzed using statistics. 

According to the U.S. News and World Report, professions in statistics are frequently well-paying, offering high levels of job satisfaction, whilst allowing for a healthy work-life balance.

Yes, Statistics 101 offers options for mentoring. As part of SkillUp Online’s mentoring service, you can have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which provide an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services will vary across packages.  

This IBM-certified course is divided into five modules that guide you through a carefully structured learning experience. The concepts of descriptive statistics, advanced descriptive statistics, visualization, and other related topics will be covered.  

Yes. This course is 100% online. Moreover, it is a self-paced course, so it is not run to a fixed schedule for completing modules or submitting assignments. However, this does not mean that you are learning on your own. The course has a designated discussion space where you can chat with other learners, ask questions, request help from a mentor, and find out more about the subject.  

If you successfully complete the course, you will earn an IBM Certificate. This can be displayed on your LinkedIn profile and resumé to highlight the skills you have developed.