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 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 dont worry, youre 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:
This course is suitable for:
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Designed by the industry for the industry so you can build job-ready skills.
Competency building and global certifications employers are actively looking for.
IBM Certificate
05 Modules
06 Skills
Discussion space
06 Hands-on labs
26 Videos
05 Review questions
01 Final exam
Bar charts
Scatterplots
Histograms
Boxplots
Lineplots
Timeseries
Statistical charts
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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IBM Certificate
05 Modules
06 Skills
Discussion space
06 Hands-on labs
26 Videos
05 Review questions
01 Final exam
Bar charts
Scatterplots
Histograms
Boxplots
Lineplots
Timeseries
Statistical charts
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?
Subscribe to get the latest tech career trends, guidance, and tips in your inbox.