When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
Data Analysis Boot Camp
Make informed, data-driven decisions applicable to real-world situations using hands-on data analysis exercises with Excel and R. This three-day course leverages straightforward business examples to...
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$1,695 USD
Course Code
DATA-ANA-BC
Duration
3 days
Available Formats
Classroom, Virtual
Make informed, data-driven decisions applicable to real-world situations using hands-on data analysis exercises with Excel and R.
This three-day course leverages straightforward business examples to explain practical techniques for understanding and reviewing data quality.
This course starts with an overview of data quality and data management, followed by foundational analysis and statistical techniques. Throughout the course, you learn to communicate about data and insights to stakeholders who need to make quick business decisions to drive your organization forward.
This data analysis training class is a lively blend of expert instruction combined with hands-on exercises so you can practice new skills and leave prepared to start performing practical analysis techniques. Every Data Analysis Boot Camp instructor is a veteran consultant and data guru who guides you through effective best practices and technologies for working with your data.
Labs for this course are primarily in Microsoft Excel, however, students will get an opportunity to practice using R during some labs. Labs for this course can also be taught using the Python programming language for private team deliveries.
Skills Gained
- Identify opportunities, manage change and develop deep visibility into your organization
- Understand the terminology and jargon of analytics, business intelligence, and statistics
- Use a wealth of practical applications for applying data analysis capability
- Visualize both data and the results of your analysis for straightforward graphical presentation to stakeholders
- Estimate more accurately while accounting for variance, error, and confidence intervals
- Create a valuable array of plots and charts to reveal hidden trends and patterns in your data
- Differentiate between "signal" and "noise" in your data
- Understand and leverage different distribution models, and how each applies in the real world
- Form and test hypotheses using multiple methods to define and interpret useful predictions
- Identify statistical inference and drawing conclusions about the population
Who Can Benefit
- Business Analyst
- Systems Analyst
- Operations Researcher
- Marketing Analyst
- Project Manager
- Program Manager
- Team Leader
- Data Modeler or Administrator
- Database Administrator
- IT Manager, Director, VP
- Finance Manager, Director, VP
- Operations Supervisor, Manager, Director, VP
- Risk Assessment Manager
- Process Improvement Staff
- Executives exploring cost reduction and process improvement options
- Senior staff who make or recommend key business decisions
Prerequisites
Students attending this class should have a basic understanding of how data is currently used in their organization. They should also have strong Excel aptitude.
Course Details
Course Outline
- Part 1: The Value and Challenges of Data-Driven Disruption
- Part 2: Tying Data to Business Value
- Part 3: Understanding Your Data
- Part 4: Analyzing Data
- Part 5: Thinking Critically About Your Analysis
- Part 6: Data Analysis in the Real World
- Part 7: Data Visualization & Reporting
- Part 8: Hands-On Introduction to R and R Studio