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Diploma in Data Analytics with Python

Course ID: 188760
Alison
Course Location
6-10 hours
Free

Course Content

This diploma course covers the importance and uses of data analytics in making business driven decisions in industries. This free online data analytics course explains in great detail, analytics in a wide variety of industries. The course will be of great interest to students and professionals who wish to learn more about the use of analytics in their career and life. The course includes detail on how to develop the in-demand skills and knowledge needed to analyze data with python and drive decision-making to improve business performance in today's industries.

Course Details

Course CategoryComputer Programming, Computers & IT (Information Technology)
Course TypeOnline Learning
Course QualificationCPD Diploma
Course Duration6-10 hours
Course FeeFree
Entry RequirementsLike all courses on the Alison Free Learning platform this is a free, CPD-accredited course. A Graduate can choose to buy a certificate or diploma upon successful completion of a course, but this is not required or necessary.

At Alison we believe that free education, more than anything, has the power to break through boundaries and transform lives.

Alison is the world’s largest free online empowerment platform for education and skills training, offering over 5000 CPD accredited courses and a range of impactful career development tools. It is a for-profit social enterprise dedicated to making it possible for anyone, to study anything, anywhere, at any time, for free online, at any subject level. Through our mission, we are a catalyst for positive social change, creating opportunity, prosperity, and equality for everyone.
Career PathIn This Free Course, You Will Learn How To
• Explain why data analytics is important in today's business environment
• Explain the relationship between statistics, analytics and data science
• Explain solutions to problems using the laws of probability, including the laws of addition, multiplication and conditional probability
• Discuss Binomial, Poisson, Hyper geometric distributions in discrete distributions
• Explain the inferences on the differences between two population means
• Explain the application of quality engineering techniques and the systemic reduction of process variability
• Describe engineering experiments involving several factors using the factorial design approach
• Describe how ANOVA is used to analyze data from experiments
• Describe the test of independence using the investment example
Course Code2429

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