Business Intelligence and Data Analytics

Uplatz offers this comprehensive training on Business Intelligence and Data Analytics. It is a self-paced video course. You will be awarded Course Completion Certificate at the end of the course.

Analytics and business intelligence (ABI) is a broad phrase that refers to the applications, infrastructure, tools, and best practices that enable access to and analysis of data in order to enhance and optimize decision-making and performance. Business intelligence (BI) is the process of transforming data into actionable insights that help a company make strategic and tactical choices. To offer users with detailed insight about the condition of the business, BI tools access and analyze data sets and show analytical findings in reports, summaries, dashboards, graphs, charts, and maps.

Business intelligence and analytics are data management solutions used in businesses and organizations to collect historical and current data, evaluate it using statistics and software, and provide insights for making better decisions in the future. The phrase "business intelligence" is also used to describe a set of technologies that enable rapid, easy-to-understand access to data-driven insights about an organization's present status.

Gathering, cleaning, and analyzing essential business data: A business intelligence analyst could collect, clean, and evaluate data like as revenue, sales, market statistics, or customer engagement measures. In addition, BI analysts may be requested to create tools and data models to aid in the visualization and monitoring of data.

This internationally acclaimed Business Intelligence and Data Analytics Certification Course by Uplatz is designed to teach you all three areas of Business Analysis: planning and monitoring, eliciting requirements, and managing and communicating requirements. Learn the newest technologies and understand real-world projects to become job-ready.

Course Objectives

• Learn statistics, SQL, Tableau, and problem-solving techniques.
• Improve your CV by adding in-demand talents.
• Data should be gathered, organized, analyzed, and visualized.
• Data may be used to make better business decisions.
• Metrics, KPIs, reports, and dashboards are used to present data.
• Analyze the business in both quantitative and qualitative terms.
• Analyze data from the present and the past.
• Learn how to spot trends, assess market circumstances, and assess competition positioning.
• Learn the foundations of database theory.
• Create, construct, and operate SQL databases with SQL.
• Create your own queries to extract data from a database.
• Tableau allows you to create sophisticated professional visuals.
• To visualize data, use Tableau, Power BI, SAP BO, MS Excel, and more tools.

Reed courses certificate of completion

Digital certificate - Included

Uplatz Certificate of Completion

Digital certificate - Included

• Business Intelligence (BI) and Analytics - all lectures 51:43:58

  • 1: PART 1 - INTRODUCTION TO BI CONCEPTS, EXAMPLES AND APPLICATIONS Preview 14:48
  • 2: PART 2 - INTRODUCTION TO BI CONCEPTS, EXAMPLES AND APPLICATIONS 19:22
  • 3: PART 3 - INTRODUCTION TO BI CONCEPTS, EXAMPLES AND APPLICATIONS 24:11
  • 4: PART 4 - INTRODUCTION TO BI CONCEPTS, EXAMPLES AND APPLICATIONS 19:54
  • 5: PART 5 - INTRODUCTION TO BI CONCEPTS, EXAMPLES AND APPLICATIONS 31:10
  • 6: PART 1 - INTRODUCTION TO PREDICTIVE MODELING 1:05:08
  • 7: PART 2 - INTRODUCTION TO PREDICTIVE MODELING 32:38
  • 8: PREDICTIVE ANALYSIS TOOLS 1:47:15
  • 9: PART 1 - INTRODUCTION TO NOSQL 33:46
  • 10: PART 2 - INTRODUCTION TO NOSQL 25:52
  • 11: HIERARCHICAL CLUSTERING 29:59
  • 12: INTRODUCTION TO SALESFORCE 34:25
  • 13: PART 1 - INTRODUCTION TO NLP 18:30
  • 14: PART 2 - INTRODUCTION TO NLP 25:23
  • 15: INTRODUCTION TO APACHE SERVER 44:25
  • 16: INTRODUCTION TO BUSINESS INTELLIGENCE (BI) 30:54
  • 17: INTRODUCTION TO DATA WAREHOUSING 39:55
  • 18: PART 1 - DATA WAREHOUSING 18:29
  • 19: PART 2 - DATA WAREHOUSING 29:22
  • 20: PART 1 - UNDERSTANDING DATA WAREHOUSING 2:22:58
  • 21: PART 2 - UNDERSTANDING DATA WAREHOUSING 53:35
  • 22: PART 3 - UNDERSTANDING DATA WAREHOUSING 1:33:00
  • 23: PART 4 - UNDERSTANDING DATA WAREHOUSING 1:57:05
  • 24: PART 5 - UNDERSTANDING DATA WAREHOUSING 1:00:53
  • 25: TYPES OF DATA 25:08
  • 26: MOBILE BI 39:18
  • 27: REAL TIME BI 1:35:17
  • 28: DATA ANALYTICS 23:44
  • 29: DATA ANALYTICS VS ANALYSIS 41:04
  • 30: EMBEDDED ANALYTICS 1:02:55
  • 31: COLLECTION ANALYTICS 59:03
  • 32: SURVIVAL ANALYTICS 29:35
  • 33: MACHINE LEARNING TECHNIQUES 37:35
  • 34: GEOSPATIAL PREDICTIVE ANALYTICS 1:01:31
  • 35: COHORT ANALYSIS 21:36
  • 36: DATA MINING 45:40
  • 37: ANOMALY DETECTION 1:00:36
  • 38: STATISTICALLY SOUND ASSOCIATIONS 31:30
  • 39: CLUSTER ANALYSIS 36:21
  • 40: DBSCAN 59:59
  • 41: REGRESSION MODELS 31:58
  • 42: EXTRACTION BASED SUMMARIZATION 10:58
  • 43: MACHINE LEARNING IN BI 1:00:50
  • 44: MACHINE LEARNING VS. BI 1:15:37
  • 45: HOW ML CAN MAKE BI BETTER 1:18:02
  • 46: CROWDSOURCING DATA 1:56:04
  • 47: INTRODUCTION TO BUSINESS ANALYSIS 1:46:49
  • 48: INTRODUCTION TO DATA MODELS 1:01:32
  • 49: DATA MART 32:40
  • 50: PART 1 - DATA DIMENSIONS 30:31
  • 51: PART 2 - DATA DIMENSIONS 24:02
  • 52: DATA VAULT MODELING 29:15
  • 53: LINKS AND SATELLITES 28:59
  • 54: PART 1 - IMPORTANT CONCEPTS OF BUSINESS INTELLIGENCE 1:48:16
  • 55: PART 2 - IMPORTANT CONCEPTS OF BUSINESS INTELLIGENCE 1:17:26
  • 56: PART 3 - IMPORTANT CONCEPTS OF BUSINESS INTELLIGENCE 1:36:56
  • 57: PART 4 - IMPORTANT CONCEPTS OF BUSINESS INTELLIGENCE 1:17:18
  • 58: PART 1 - BUSINESS OPERATIONAL INTELLIGENCE 1:01:05
  • 59: PART 2 - BUSINESS OPERATIONAL INTELLIGENCE 1:17:07
  • 60: PART 3 - BUSINESS OPERATIONAL INTELLIGENCE 1:00:44
  • 61: Data Analytics Booklet 04:00
  • 62: Glossary of Data Analytics Terms 04:00
  • 63: Data Analytics Interview Questions 06:00

Business Intelligence and Data Analytics - Course Syllabus

1. Introduction to Business Intelligence
2. Introduction to Data Warehousing
3. Real-time BI
4. Apache Server
5. NoSQL and Cluster Computing
6. Data Analytics
7. Data Mining
8. Clustering Analysis Algorithms
9. DBSCAN
10. Regression Models
11. Machine Learning Techniques in Business Intelligence
12. Machine Learning vs. BI
13. Predictive Analysis Tools
14. Crowdsourcing Data
15. Introduction to Business Analysis
16. Introduction to Data Models
17. Deep-dive into Data Warehousing
18. Important Concepts of Business Intelligence
19. Business Operational Intelligence

Everyone

Passion and determination to achieve your goals!

• Data Analyst
• Business Intelligence (BI) Analyst
• Data Consultant
• BI Developer
• Business Consultant
• Reporting Analyst
• Marketing Analyst
• Financial Analyst
• Business Analyst