Data Analytics & Business Intelligence
Data Analytics & Business Intelligence, available at $49.99, has an average rating of 3.35, with 44 lectures, 1 quizzes, based on 25 reviews, and has 375 subscribers.
You will learn about Explain the concepts of Business Intelligence and Data Analytics Leverage BI & analytics in finding solutions to business problems and improve performance Learn different categories of BI – Mobile BI, Real time BI, etc. Understand different types of analytics such as Data Analytics, Embedded Analytics, Collection Analytics, Survival Analytics, Geospatial Predictive Analytics Describe the role of Machine Learning in BI Learn & build Data Warehouses, Data Marts, Data Lakes, Data Platforms Understand Predictive Modeling, Regression Models, Data Vault Modeling Get introduced to NoSQL, NLP, Salesforce, Apache Server Kickstart your career as a BI/Data Analyst or Business Consultant This course is ideal for individuals who are Business Intelligence Engineers or Data Analysts / Data Analytics Specialists or Newbies & Beginners aspiring for a career in Analytics / BI or Business Analysts / Consultants or BI Developers or Business Intelligence Specialists or Data Engineers Business Intelligence or Reporting & Analytics Analysts or Analytics Managers or Financial Analysts / Marketing Analysts / Operations Analysts or Data Science Analysts or Business Analytics Lead or Machine Learning Engineers or MIS / Reporting Analysts or Project Managers or Research Analysts It is particularly useful for Business Intelligence Engineers or Data Analysts / Data Analytics Specialists or Newbies & Beginners aspiring for a career in Analytics / BI or Business Analysts / Consultants or BI Developers or Business Intelligence Specialists or Data Engineers Business Intelligence or Reporting & Analytics Analysts or Analytics Managers or Financial Analysts / Marketing Analysts / Operations Analysts or Data Science Analysts or Business Analytics Lead or Machine Learning Engineers or MIS / Reporting Analysts or Project Managers or Research Analysts.
Enroll now: Data Analytics & Business Intelligence
Summary
Title: Data Analytics & Business Intelligence
Price: $49.99
Average Rating: 3.35
Number of Lectures: 44
Number of Quizzes: 1
Number of Published Lectures: 44
Number of Published Quizzes: 1
Number of Curriculum Items: 45
Number of Published Curriculum Objects: 45
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Explain the concepts of Business Intelligence and Data Analytics
- Leverage BI & analytics in finding solutions to business problems and improve performance
- Learn different categories of BI – Mobile BI, Real time BI, etc.
- Understand different types of analytics such as Data Analytics, Embedded Analytics, Collection Analytics, Survival Analytics, Geospatial Predictive Analytics
- Describe the role of Machine Learning in BI
- Learn & build Data Warehouses, Data Marts, Data Lakes, Data Platforms
- Understand Predictive Modeling, Regression Models, Data Vault Modeling
- Get introduced to NoSQL, NLP, Salesforce, Apache Server
- Kickstart your career as a BI/Data Analyst or Business Consultant
Who Should Attend
- Business Intelligence Engineers
- Data Analysts / Data Analytics Specialists
- Newbies & Beginners aspiring for a career in Analytics / BI
- Business Analysts / Consultants
- BI Developers
- Business Intelligence Specialists
- Data Engineers Business Intelligence
- Reporting & Analytics Analysts
- Analytics Managers
- Financial Analysts / Marketing Analysts / Operations Analysts
- Data Science Analysts
- Business Analytics Lead
- Machine Learning Engineers
- MIS / Reporting Analysts
- Project Managers
- Research Analysts
Target Audiences
- Business Intelligence Engineers
- Data Analysts / Data Analytics Specialists
- Newbies & Beginners aspiring for a career in Analytics / BI
- Business Analysts / Consultants
- BI Developers
- Business Intelligence Specialists
- Data Engineers Business Intelligence
- Reporting & Analytics Analysts
- Analytics Managers
- Financial Analysts / Marketing Analysts / Operations Analysts
- Data Science Analysts
- Business Analytics Lead
- Machine Learning Engineers
- MIS / Reporting Analysts
- Project Managers
- Research Analysts
A warm welcome to the Data Analytics & Business Intelligence course by Uplatz.
Uplatz brings this detailed course on Data Analytics & Business Intelligence to help you get familiar with the concepts and application of business analysis, the tools & technologies involved in business analytics domain, and finally to get you skilled in applying the same to practical business scenarios.
If you wish to make a successful career in this super trending area of data analytics and business intelligence commanding huge pay packages, then this is perfectly the right course for you to get you started. Besides going into detail of understanding data and performing meaningful analytics on it, this Business Intelligence & Data Analytics course also introduces you briefly to the concepts of machine learning and data science.
Data gathering, storage, and knowledge management are combined with data analysis in business intelligence systems to evaluate and transform complex data into meaningful, actionable information that can be used to support more effective strategic, tactical, and operational insights and decision-making. An organization’s business intelligence environments are made up of a number of technologies, applications, processes, strategies, products, and technological architectures that are used to gather, analyze, display, and disseminate internal and external business data.
The use of methodologies such as data mining, predictive analytics, and statistical analysis in order to analyze and transform data into useful information, identify and anticipate trends and outcomes, and ultimately make smarter, data-driven business decisions, is referred to as business intelligence and analytics, a data management solution and business intelligence subset.
A business intelligence platform allows companies to take use of their current data architecture and construct unique business intelligence apps that allow analysts to query and view data. Self-service analytics is supported by modern business intelligence solutions, making it simple for end users to build their own reports. Users may connect to a variety of data sources, including NoSQL databases, Hadoop systems, cloud platforms, and traditional data warehouses, using simple user interfaces mixed with flexible business intelligence backend software to produce a unified picture of their heterogeneous data.
This Business Intelligence and Data Analytics course aims to produce a select group of skilled individuals who are cross-trained in business process analysis, technology management, and technically skilled in all aspects of data science, such as predictive modelling, analytical reporting, GIS mapping, segmentation analysis, and data visualization along with machine learning & deep learning. Students will acquire the skills to integrate cutting edge information and analytics technologies with best practices and applied business methods.
The Business Intelligence & Analytics course combines analytical and professional skills to help you become the type of manager who questions assumptions and makes evidence-based choices based on facts. You’ll learn new skills that will help you improve your goods, services, and strategies while leading your firm through markets that are always changing due to technological advancements. Machine learning, language processing, data mining, data modeling including predictive modeling, optimization, NoSQL, NLP are among the topics covered in the curriculum, which are at the forefront of the data revolution. Classes go beyond the fundamentals of understanding data and using it for making business decisions, to addressing essential business ideas.
Data Analytics & Business Intelligence – course curriculum
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Introduction to BI Concepts, Examples, and Applications
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Introduction to Predictive Modeling
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Introduction to NoSQL
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Hierarchical Clustering
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Introduction to Salesforce
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Introduction to NLP
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Introduction to Apache Server
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Business Intelligence deep-dive
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Data Warehousing
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Types of Data
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Mobile BI
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Real-time BI
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Data Analytics
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Data Analytics vs. Business Analysis
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Embedded Analytics
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Collection Analytics
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Survival Analytics
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Machine Learning Techniques
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Geospatial Predictive Analytics
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Cohort Analysis
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Data Mining
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Anomaly Detection
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Statistically Sound Associations
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Cluster Analysis
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DB Scan
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Regression Models
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Extraction-based Summarization
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Machine Learning in BI
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Machine Learning vs. BI
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How ML can make BI better
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Understanding Data Warehousing
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Understanding Data Mart
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Understanding Data Dimensions
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Understanding Data Vault Modeling
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Understanding Links and Satellites
Course Curriculum
Chapter 1: INTRODUCTION TO BI CONCEPTS, EXAMPLES AND APPLICATIONS
Lecture 1: PART 1 – INTRODUCTION TO BI CONCEPTS, EXAMPLES AND APPLICATIONS
Lecture 2: PART 2 – INTRODUCTION TO BI CONCEPTS, EXAMPLES AND APPLICATIONS
Lecture 3: PART 3 – INTRODUCTION TO BI CONCEPTS, EXAMPLES AND APPLICATIONS
Lecture 4: PART 4 – INTRODUCTION TO BI CONCEPTS, EXAMPLES AND APPLICATIONS
Lecture 5: PART 5 – INTRODUCTION TO BI CONCEPTS, EXAMPLES AND APPLICATIONS
Chapter 2: INTRODUCTION TO PREDICTIVE MODELING
Lecture 1: PART 1 – INTRODUCTION TO PREDICTIVE MODELING
Lecture 2: PART 2 – INTRODUCTION TO PREDICTIVE MODELING
Chapter 3: INTRODUCTION TO NOSQL
Lecture 1: PART 1 – INTRODUCTION TO NOSQL
Lecture 2: PART 2 – INTRODUCTION TO NOSQL
Chapter 4: HIERARCHICAL CLUSTERING
Lecture 1: HIERARCHICAL CLUSTERING
Chapter 5: INTRODUCTION TO SALESFORCE
Lecture 1: INTRODUCTION TO SALESFORCE
Chapter 6: INTRODUCTION TO NLP
Lecture 1: PART 1 – INTRODUCTION TO NLP
Lecture 2: PART 2 – INTRODUCTION TO NLP
Chapter 7: INTRODUCTION TO APACHE SERVER
Lecture 1: INTRODUCTION TO APACHE SERVER
Chapter 8: DEEP-DIVE INTO BUSINESS INTELLIGENCE (BI)
Lecture 1: DEEP-DIVE INTO BUSINESS INTELLIGENCE (BI)
Chapter 9: DATA WAREHOUSING
Lecture 1: DATA WAREHOUSING
Chapter 10: TYPES OF DATA
Lecture 1: TYPES OF DATA
Chapter 11: MOBILE BI
Lecture 1: MOBILE BI
Chapter 12: REAL TIME BI
Lecture 1: REAL TIME BI
Chapter 13: DATA ANALYTICS
Lecture 1: DATA ANALYTICS
Chapter 14: DATA ANALYTICS VS. ANALYSIS
Lecture 1: DATA ANALYTICS VS. ANALYSIS
Chapter 15: EMBEDDED ANALYTICS
Lecture 1: EMBEDDED ANALYTICS
Chapter 16: COLLECTION ANALYTICS
Lecture 1: COLLECTION ANALYTICS
Chapter 17: SURVIVAL ANALYTICS
Lecture 1: SURVIVAL ANALYTICS
Chapter 18: MACHINE LEARNING TECHNIQUES
Lecture 1: MACHINE LEARNING TECHNIQUES
Chapter 19: GEOSPATIAL PREDICTIVE ANALYTICS
Lecture 1: GEOSPATIAL PREDICTIVE ANALYTICS
Chapter 20: COHORT ANALYSIS
Lecture 1: COHORT ANALYSIS
Chapter 21: DATA MINING
Lecture 1: DATA MINING
Chapter 22: ANOMALY DETECTION
Lecture 1: ANOMALY DETECTION
Chapter 23: STATISTICALLY SOUND ASSOCIATIONS
Lecture 1: STATISTICALLY SOUND ASSOCIATIONS
Chapter 24: CLUSTER ANALYSIS
Lecture 1: CLUSTER ANALYSIS
Chapter 25: DBSCAN
Lecture 1: DBSCAN
Chapter 26: REGRESSION MODELS
Lecture 1: REGRESSION MODELS
Chapter 27: EXTRACTION BASED SUMMARIZATION
Lecture 1: EXTRACTION BASED SUMMARIZATION
Chapter 28: MACHINE LEARNING IN BI
Lecture 1: MACHINE LEARNING IN BI
Chapter 29: MACHINE LEARNING VS. BI
Lecture 1: MACHINE LEARNING VS. BI
Chapter 30: HOW ML CAN MAKE BI BETTER
Lecture 1: HOW ML CAN MAKE BI BETTER
Chapter 31: DATA WAREHOUSING
Lecture 1: PART 1 – DATA WAREHOUSING
Lecture 2: PART 2 – DATA WAREHOUSING
Chapter 32: DATA MART
Lecture 1: DATA MART
Chapter 33: DATA DIMENSIONS
Lecture 1: PART 1 – DATA DIMENSIONS
Lecture 2: PART 2 – DATA DIMENSIONS
Chapter 34: DATA VAULT MODELING
Lecture 1: DATA VAULT MODELING
Chapter 35: LINKS AND SATELLITES
Lecture 1: LINKS AND SATELLITES
Chapter 36: End of Course Quiz
Instructors
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Uplatz Training
Fastest growing global Technology & Cloud Training Provider
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 4 votes
- 3 stars: 4 votes
- 4 stars: 8 votes
- 5 stars: 6 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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