Professional Course
4.5 (8 Reviews)

Advanced Tools and Techniques for Data Analysis

Length
2 days
Price
2,695 USD
Next course start
24 June, 2024 (+5 start dates)
Delivery
Virtual Classroom
Length
2 days
Price
2,695 USD
Next course start
24 June, 2024 (+5 start dates)
Delivery
Virtual Classroom
From 2,695 USD / person

Course description

AMA - American Management Association

Advanced Tools and Techniques for Data Analysis

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 , 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.

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

Upcoming start dates

Choose between 5 start dates

24 June, 2024

  • Virtual Classroom
  • Online

7 August, 2024

  • Virtual Classroom
  • Online

19 September, 2024

  • Virtual Classroom
  • Online

7 November, 2024

  • Virtual Classroom
  • Online

9 December, 2024

  • Virtual Classroom
  • Online

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.

Seminar pre-requisites

  • Basic understanding of Excel and spreadsheets, including Pivot tables and basic charting functions.

Requirements:

  • MS Windows-based laptop with working browser to connect to the Internet via WiFi network; as well as a minimum of Excel 2019 or 365 for PC installed.

Training content

  • 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

Costs

price for:

  • Non Members: $2695
  • AMA Members: $2395

Certification / Credits

CEU: 1.2

Reviews

Average rating 4.5

Based on 8 reviews.
Reviews are published according to our review policy..
Write a review!
5/5
Phil L.
11 Jun 2021
Advanced Tools and Techniques for Data Analysis

Great instructor.

5/5
Sudhir K.
11 Jun 2021
Advanced Tools and Techniques for Data Analysis

Hands-on session so it was practicing as I was learning. Very informative training.

5/5
Garey B.
11 Jun 2021
Advanced Tools and Techniques for Data Analysis

Great class and teacher, I learned alot!

AMA - American Management Association

American Management Association Company Info

The American Management Association, International (AMA) is the global leader in talent development. Founded in 1923, AMA supports the goals of individuals and organizations through a complete range of educational products and services, including instructor-led classroom and virtual seminars, webinars,...

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