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Advanced Tools and Techniques for Data Analysis

Discover how to gain valuable insights from complex data sets and solve real-world business problems with the Advanced Tools and Techniques for Data Analysis course at the American Management Association. No background in statistics or programming is required. Take your data analysis skills to the next level and improve your business efficiency and effectiveness.

  • Advanced
  • 21 and older
  • $2,695
  • Live, interactive online classroom
  • 15 hours & 30 minutes over 2 sessions

Start Dates (55)

  • $2,695
  • 15 hours & 30 minutes over 2 sessions
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  • Mon, Jun 24 at 9:00am - 5:00pm
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  • Tue, Jun 25 at 9:00am - 4:30pm
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Class Description

Description

What you'll learn in this data analyst training:

This 2-day advanced analytics seminar will introduce you to predictive analytics techniques, so you can frame strategic and operational questions involving marketing, finance, and operations or other real-world business applications.

In this hands-on course, you will cover a variety of analytics tools, such as histograms, ANOVA analysis, A/B testing, Pareto analysis, clustering, box plots, scatter diagrams, partitioning, unstructured text analysis, and multivariate regression analysis. Best of all, no background in statistics or programming is required. As long as you have a basic understanding of spreadsheets, you will learn how to manipulate complex data sets so you can gain insights that are not possible with common business intelligence techniques.

What You Will Learn

  • Data analytics and business; working with data
  • Wrangling, cleansing, and shaping data (data scraping)
  • Using Google OpenRefine
  • Selecting the right variables, KPIs, CSFs (data analysis)
  • Becoming familiar with Excel’s Analysis Tool Pack
  • Utilizing multivariate statistics, T-Test, factor analysis, linear regression, and other advanced techniques
  • Reviewing additional tools—JMP, Tableau, SPSS, R

How You Will Benefit

  • Go above and beyond standard business intelligence analysis techniques
  • Get answers to complex data analysis questions without becoming a statistician  
  • Learn which data analysis technique to use for various business problems
  • Extract the most meaningful results from large and small data sets and multiple data types
  • Become familiar with basic text analysis tools and gain insights from unstructured text data
  • Use advanced analysis functions in Excel and open source tools
  • Build on your basic understanding of spreadsheets to access powerful analytic techniques
  • Improve your business efficiency and effectiveness

Who Should attend

Business professionals looking for data analysis tools to solve complex problems such as customer churn, statistically valid web-page optimization, and social media/online customer feedback analysis.

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Refund Policy

For Classroom, Live Online, Express Skills Courses and Webinar programs, you may transfer to a future session, send someone to take your place, or cancel for a 5% fee up to 23 days prior to your program.

If you provide AMA with less than 23 days’ notice, or fail to attend, you will be liable for the entire program fee.

Programs included in AMA On Demand offerings are not eligible for substitution, transfer, cancellation, return, or refund. We appreciate that this is an important investment for you and your company and would like to accommodate your needs the best we can.

Please email us at [email protected]

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

Reviews of Classes at American Management Association (5)

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