Business Intelligence Analyst Certification Training Course

Business intelligence, or BI, is a tool that uses several technologies and applications to help analyze and research data and information to find useful insights. BI tools are often used to automate data collection and reporting, but they can also be used to perform data visualization, data mining, and data extraction. BI tools can create dashboards, workflow applications, and other add-ons that make it easy for users to access and share data and information.

Why should organizations invest in business intelligence analysts and solutions? 

Many companies have found that they can improve their bottom lines by investing in Business Intelligence (BI). BI allows companies to gather and analyze data on their operations to see which parts are most profitable and which customers are most likely to buy a particular product. This data can then be used to decide which products to develop and which clients to target, saving both time and money. Gone are when a company used to rely on gut instinct and personal opinion to make decisions. Today, companies use data to make the right decision and take action. This has led to the rise of business intelligence.

Rcademy recognizes that businesses today need to make faster, more informed decisions than ever before. Access to high-quality, actionable data is the key to unlocking the power of data to drive business strategy and improve performance. Keeping in mind this data-driven approach to business, Rcademy has introduced Business Intelligence Analyst Certification Course. In this course, you will learn the tools and techniques for generating data insights and using those insights to make better decisions and create more value for your organization. You will also learn what makes a Business Intelligence (BI) expert different from other data analysts. You will learn about the different types of BI tools, their purposes, and how they are utilized. Last, you will learn how data can be harnessed to improve decision-making and create a more data-driven culture in your organization.

Who should attend?

Rcademy’s Business Intelligence Analyst Certification Training Course is suitable for the following:

• Data Analysts
• Data Managers
• Data scientist
• Business Intelligent analysts
• System Analysts
• Product managers
• Departmental heads and managers
• Operation managers
• Graduates, learners and scholars
• Entrepreneurs
• Data management analysts

What are the course objectives?

Rcademy has designed the course revolving around the following objectives:

• To gain an understanding of concepts and elements of Business Intelligence
• To understand the scope and application of business intelligence
• To gain valuable business insights through the effective use of business intelligence tools and techniques
• To gain first-hand experience with a diverse range of Business Intelligence technologies such as data warehousing, data mining, OLAP, reporting, etc.
• To define ways in which business intelligence will leverage an organization against its peers
• To encourage better decision-making in the organization
• To gain an understanding of data architecture that supports Business Intelligence systems
• To understand the interrelationship of business intelligence with other organizational contexts
• To get acquainted with emerging trends and prevalent practices in business intelligence
• To overcome common challenges encountered during the implementation of business intelligence systems

How will this course be presented?

• Interactive sessions
• Use of case studies
• Management games
• Learning preparation of reports, charts, graphs
• Real-time exercises
• Problem-solving and Group discussion sessions

What are the topics covered in this course?

Module 1: Overview of Business Intelligence

• Purpose of business intelligent systems
• Application of business intelligence in corporate
• Common functions of business intelligence
• Business Intelligence technologies

Module 2: Skills for Business Intelligence

• The rising role of data scientist
• Recognition of patterns in data
• Critical thinking
• Data modeling
• Decision making
• Analytical skills

Module 3: Data Mining

• Data mining model creation
• Gathering and selection of data
• Data cleansing
• Data mining techniques: decision trees, regression

Module 4: Data Warehousing

• Prerequisite for data warehousing
• Data mart vs data warehouse
• Approaches to developing data warehouse: top-down and bottom-up
• Data warehouse architecture
• Process of data transformation

Module 5: Business Analytics

• Differentiating business analytics and business intelligence
• Analytical modeling
• Predictive modeling

Module 6: Data Discovery and Visualization

• Web Mining
• Considerations when presenting data
• Data exploration using visual analytics
• Attributes to look out for in data discovery tools
• Excel for data visualization

Module 7: Business Intelligence tools

• Online Analytical Processing
• Social media analytics
• Reporting
• Dashboards
• Querying
• Data mining
• Cluster analysis
• Text mining

Module 8: Big Data

• Unique features of big data
• Increasing variety and complexity of data
• Sources of big data
• Big data technologies
• Impact and effects of big data on business models

Module 9: Basics of OLAP

• Multidimensional analysis
• OLTP
• Applications and scope of OLAP
• Roll up and drill down
• Slicing and dicing
• Types of OLAP

Module 10: Cluster Analysis

• Segmentation technique
• Applications of cluster analysis
• Clustering techniques

Module 11: Business Intelligence Best Practices

• Establishing clear targets
• Building data literacy
• Keeping data secure
• Agile architecture