• LOGIN
  • No products in the cart.

COURSE DESCRIPTION

COURSE INTRODUCTION
Logistics, materials, and course expectations
Agile and integrated (A&I™) set of tools and best practices
References and resources
INTRODUCTION TO DATA ANALYSIS AND DATA ANALYTICS
Definition and history
Current technology, the growing availability of data, and increasing challenges
Applications for gaining competitive advantages
RETHINKING THE VALUE AND USAGE OF DATA
The impact of vast volumes of available data especially for decision making
Data difficulties and limitations: ROI vs. effort/expense, incomplete and inconclusive data
Dealing with data uncertainty
Getting real value out of your data: The data continuum
Effective and responsible data ownership
Advantages and disadvantages of qualitative and quantitative data types
Solutions and best practices to transform the way your organization accesses and uses data
Organizing the entire organization’s data for maximum efficiency using easily available tools
Taking advantage of the expertise of the entire organization
INTRODUCTION TO DATA MINING AND DATA WAREHOUSING
Data Mining concepts and application
Application benefits of data warehousing
DATA DISTRIBUTION AND VARIANCE
Decision making under uncertainty
Probability
Data distribution
Variance
Standard deviation
INFORMATION NEEDS
Operational and executive information classes?
Key functional transactions and documents
Map information needs to underlying data
Executive information needs and the balanced scorecard
Role of the business analyst and data analyst
How to use simple pivot tables in Excel or Google Sheets to analyze and present your data
Tracking and managing business process performance
Learning from data
DATA EXPLORATION CONCEPTS AND METHODS
Basic concepts
Descriptive measures of a sample
Histograms
Statistical hypothesis and inference
Dependence and correlation
Moving beyond data and decision uncertainty – managing risk
FORECASTING
Forecasting methods and models
Time series analysis
Linear regression
Establishing trends and business cycles (i.e., seasonality)
Selecting independent variables for predictive models including regression techniques
REVIEW, BEST PRACTICES AND NEXT STEPS
Data analysis and transformation
Best practices revisited
Next steps options
COURSE CLOSEOUT
Putting It All Together. The Value of Powerful Data
Additional Resources and Exercises
WHO SHOULD ATTEND
Individuals who are interested in operations, project management, business analysis, or management, who need an introduction to data analysis

Interested in learning Data Analytics?

0 responses on "Data Analytics"

Leave a Message

Your email address will not be published. Required fields are marked *

Course Reviews

4

4
1 ratings
  • 5 stars0
  • 4 stars0
  • 3 stars0
  • 2 stars0
  • 1 stars0

No Reviews found for this course.

© 2018 Schoolfortraining.Powered By Embtelsolutions.com
Note: School for Training is a vocational school. We promise quality education. We do not promise a job.
WhatsApp