This course covers everything from the basic concepts of data analysis, to data warehouse design and data visualization principles. If you're looking for a career change or already making your way into the world of transforming data into value, this course will help you understand all of the key concepts and get some hands-on skills, while being directed to where you can dig in deeper when you find something you're interested in. If you're already working in the data world, you can use this course as a reference. Each module is broken down into segments that answer the basic questions of what, why, how, and where so you can easily dive in where you want to learn more and jump back out without needing to start watching from the beginning.
Course Outline
This course covers the following topics:
Understanding the Fundamentals of Big Data
- What is Big Data?
- Sources of Big Data
The Big Data Analysis Life Cycle
- Business Case Evaluation
- Data Identification
- Data Acquisitions and Filtering
- Data Extraction
- Data Validation and Cleansing
- Data Aggregation and Representation
- Data Analysis
- Data Visualisation
- Analysis Results
Planning a Big Data Approach
- Bottom-Up and Top-Down Planning
- Technologies
- Considering Use Cases
- Thinking Long-Term
- Steps for Planning
Implementing a Big Data Approach
- Recognising Business Challenges
- Finding Appropriate Data Sources
- Involving the Business
- Choosing What to Use
Storing Unstructured Information
- Apache Hadoop
- Microsoft HDInsight
- Hive
- PolyBase
- Sqoop
- Presto
- Microsoft Excel
- NoSQL
Managing and Analysing Unstructured Information
- Challenges of Unstructured Data
- Deciding on a Data Source
- Preparing for Storage
- Choosing Storage Solutions
Benefits
- How to develop algorithms for the statistical analysis of big data;
- Gain knowledge of the scope and application of data analysis;
- Explore ways to measure the performance of and improvement opportunities for business processes;
- Knowledge of big data applications;
- How to use fundamental principles used in predictive analytics;
- Evaluate and apply appropriate principles, techniques and theories to large-scale data science problems, sales and customer service.
Who Should Attend the Course
- Business Analyst, Business Systems Analyst, Staff Analyst
- Those interested in CBAP®, CCBA®®, or other business analysis certifications
- Systems, Operations Research, Marketing, and other Analysts
- Project Manager, Team Leads, Project Leads, Project Assistants, Project Coordinators
- Those interested in PMP®, CAPM®, or other project management certifications
- Program Managers, Portfolio Managers, Project Management Office (PMO) staff
- Data Modelers and Administrators, DBAs
- Technical & other Subject Matter Experts (SMEs)
- IT Staff, Manager, VPs
- Finance Staff, Manager
- Operations Analyst, Supervisor
- External and Internal Consultants
- Risk Managers, Operations Risk Professionals
- Operations Managers, Line Managers, Operations Staff
- Process Improvement, Compliance, Audit, & other Governance Staff
- Thought Leaders, Transformation & Change Champions, Change Manager
- Executives, Directors, & other senior starr exploring cost reduction and process improvement options
- Executive and Administrative Assistants and Coordinators
- Job seekers and those who want to show dedication to data analysis and process improvement
- Leaders at all levels who wish to increase their Data Analysis capabilities
The Certificate
P4PE Institute Certificate of Completion for delegates who attend and complete the training course.
