Advanced Tools and Techniques for Data Analysis

Course Code: DIGTR-131

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Introduction

Training course introducion / brief

This training course is designed to introduce participants to the concepts of predictive analytics techniques that will enable them to frame strategic and operational questions involving marketing, finance, and operations or other real-world business applications. This course 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. Participants will learn how to manipulate complex data sets and gain insights that are not possible with common business intelligence techniques.

• Gain a comprehensive understanding of business intelligence analysis techniques and how to utilize them in the organization.

• Understand 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 a basic understanding of spreadsheets to access powerful analytic techniques

• Improve business efficiency and effectiveness

This course is designed for business professionals handling functions related to data and data analysis such as strategists, programme/project managers, analysts, and business process managers.

Data Analytics and Business

• Understand How Business Analytics (BA) Enhances Business Intelligence (BI)

• Resolve Business Challenges That Yield 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

Data Analysis Techniques

• 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 Advanced Analysis Functions in Excel and Open-Source Tools to Share Newly Discovered Insights with Others in the Organization

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, 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

Boost certificate of completion

BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.

ENDORSED EDUCATION PROVIDER

Flexible deadlines

Customized dates accordance to your schedule

Shareable Certificate

Earn certificate upon completion

COURSE METHODOLOGY

Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).

At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.

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TRAINING COURSE: Advanced Tools and Techniques for Data Analysis