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Advanced Tools and Techniques for Data Analysis

Gain insights from complex data sets and solve real-world business problems with the Advanced Tools and Techniques for Data Analysis seminar at the American Management Association. No statistics or programming background is required.

  • Advanced
  • 21 and older
  • $2,695
  • 2345 Crystal Dr , Arlington, VA
  • 15 hours over 2 sessions

Start Dates (0)

  • $2,695
  • AMA Washington Area Center @ 2345 Crystal Dr Suite 200, Arlington, VA 22202
  • 15 hours over 2 sessions
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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.

Outline

Giving Feedback

  • Apply the Most Effective Data Analysis Technique to a Specific Business Problem
  • Extract Meaningful Results from Large and Small Data Sets to Improve Business Efficiency and Effectiveness
  • Interpret Results from the Analysis of Unstructured Text (Emails and Social Media) to Provide Insight into Specific Business Problems
  • Gain Increased Confidence in Your Ability to Use the Advanced Analysis Functions in Excel and Open-Source Tools to Share Newly Discovered Insights with Others in the Organization

Data Analytics and Business

  • Understand How Business Analytics (BA) Enhances Business
    Intelligence (BI)
  • Resolve Business Challenges That Yield to Data
  • Gain Insight from Data Analytics
  • Learn a Methodology for Framing Business Questions That Will Use Data and Analytics as the Basis for Answers and Solutions

Working with Data

  • Identify Which Data Analysis Tools Best Answer Common Analytical Business Questions
  • Understand How the Microsoft Excel Analysis ToolPak and Other Programs Can Be Used for Advanced Data Analysis
  • Select the Appropriate Tools and Techniques for Your Data
  • Apply Analytical Tools to Answer the Basic Business Questions You Are Facing in Your Work

Advanced Analytical Techniques

  • Recognize How Advanced Data Analysis Techniques Can Be Used to Address a Variety of Business Challenges
  • Perform Various Data Analysis Techniques Including Correlation and Linear Regression, Multivariate Regression, Predictive Models, and ANOVA Analysis
  • Determine Data Analysis Techniques That Can Be Applied to Your Organization

Specialized Tools and Techniques

  • Recognize How Advanced Data Analysis Techniques Can Be Used to Address a Variety of Business Challenges
  • Determine Analysis Techniques That Can Be Applied to Your Organization
  • Perform Various Data Analysis Techniques (Moving Bubble Analysis for Multivariable Time Series, Unstructured Data Text Analysis, and Contingency Analysis, the Chi-Square Test, and the A/B Test

Applying the Techniques

  • Demonstrate the Skills and Knowledge You’ve Acquired to Analyze Data and Determine Relevant Business Questions
  • Use Many of the Techniques and Tools Demonstrated During the Seminar

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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American Management Association

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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American Management Association

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