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Statistics 101

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Course

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.

Flexible Schedule

Beginner Level

Mentor Support

Estimated Time

2 weeks, online
3-4 hours/week

Fee

$119

Get Reimbursed

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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:

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

Why Learn with SkillUp Online?

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.

Reskilling into tech? We’ll support you.

Upskilling for promotion? We’ll help you.

Cross-skilling for your career? We’ll guide you.

Personalized Mentoring & Support

1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.

Practical Experience

Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.

Best-in-Class Course Content

Job-Ready Skills Focus

Competency building and global certifications employers are actively looking for.

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 dont 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 Onlines 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 resum to highlight the skills you have developed.

Statistics 101 Course - Learn Fundamentals of Statistics

Type of certificate

IBM Certificate

About this course

05 Modules

06 Skills

Includes

Discussion space

06 Hands-on labs

26 Videos

05 Review questions

01 Final exam

Create

Bar charts

Scatterplots

Histograms

Boxplots

Lineplots

Timeseries

Statistical charts

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?

This course has been created by

Glen R.J. Mules

Senior Instructor, IBM

View on LinkedIn

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