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Next Cohort: Oct 12-Apr 12

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Duration

4-6 months

Tuition

$6,345

 

Oct 12-Apr 12

Commitment

Part-Time

Delivery

Online

Credential

Certificate

Year Founded

2012

Scholarships

no

With zettabytes of data being collected annually, governments, companies, and people have more access to data than ever before. With so much data, it can be hard to know where to start looking for important insights or trends to drive business decisions.

Data mining techniques provide the first level of abstraction to raw data by extracting patterns, making big data analytics tools increasingly critical for providing meaningful information to inform better business decisions, and applying statistical learning theory to find a predictive function based on data.

You’ll learn to apply mathematical theory and decision making techniques that are vital to big data analysis, classification, clustering, and association rule mining through real-world projects designed by faculty from Arizona State University.

By committing to online study for 4-6 months, you can earn the Big Data MasterTrack Certificate that will be a pathway to the online Master of Computer Science degree at Arizona State University.

What You’ll Learn

  • Develop exploratory data analysis and visualization tools using Python and Jupyter notebooks
  • Apply design principles for a variety of statistical graphics and visualizations including scatterplots, line charts, histograms, and choropleth maps
  • Apply common data mining algorithms to discover relationships and patterns in large datasets
  • Implement more advanced learning algorithms such as deep learning and reinforcement learning
  • Perform scalable data processing operations in cloud computing environments

Ready to get started?

Next Cohort: Oct 12-Apr 12

  • This field is for validation purposes and should be left unchanged.

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Student Reviews (24)

Coursera

A nice course

Toukir A C

July 7, 2020

Graduated From

Introduction to Data Analysis Using Excel

Overall:

5 out of 5

Instructors:

5 stars

Curriculum:

5 stars

Job Assistance:

na

This course provided some basic insights on Microsoft Excel including the pivot table, pivot chart, histogram etc. One who's completely new to Excel can enroll in this course and learn a lot. The quiz questions were very much up to the mark and one rea...

This course provided some basic insights on Microsoft Excel including the pivot table, pivot chart, histogram etc. One who's completely new to Excel can enroll in this course and learn a lot. The quiz questions were very much up to the mark and one really needs to understand each lesson clearly to answer those questions. Overall, it was a nice course!

Coursera

Excel Skills for Business Specialization

Chris B

July 7, 2020

Graduated From

Excel Skills for Business Specialization

Overall:

5 out of 5

Instructors:

5 stars

Curriculum:

5 stars

Job Assistance:

na

I would class myself as quite a competent Excel user, but (as most probably like most!), all self taught with little or no 'formal' qualifications. So I wanted to follow a specialization route to gain these 'approved competencies). Having followed othe...

I would class myself as quite a competent Excel user, but (as most probably like most!), all self taught with little or no 'formal' qualifications. So I wanted to follow a specialization route to gain these 'approved competencies). Having followed other online training before, I can honestly say that the presentation both in terms of delivery and content is as good as I've ever seen. Really well constructed, with a plan and focus to take you from week 1 to week 6. Great structure that builds upon the previous weeks knowledge and also contains detailed examples with enough data content that allows you to 'play' around and practice. It delivers on it's essentials tagline, as the topics are relevant and focused to provide a great base to 'overcome' any fears of using Excel, so that you can build upon good knowledge in the workplace. From start to finish one of the best online courses that i've ever seen and participated in.

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