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Learn and apply Analytics and Business Intelligence concepts to practical business problems. Become a BI / Data Analyst.
Updated on Sep, 2026
Business, Business Analytics and Intelligence, Business Intelligence
Duration - 27.5 hours
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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 the 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 started. Besides going into detail about 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 make 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, and data modeling including predictive modeling, optimization, NoSQL, and 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.
Introduction to BI Concepts, Examples, and Applications
Introduction to Predictive Modeling
Introduction to NoSQL
Hierarchical Clustering
Introduction to Salesforce
Introduction to Apache Server
Business Intelligence deep-dive
Data Analytics vs. Business Analysis
Collection Analytics
Machine Learning Techniques
Geospatial Predictive Analytics
Statistically Sound Associations
Extraction-based Summarization
Machine Learning in BI
Machine Learning vs. BI
How ML can make BI better
Understanding Data Warehousing
Understanding Data Mart
Understanding Data Dimensions
Understanding Data Vault Modeling
Understanding Links and Satellites
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, and Geospatial Predictive Analytics.
Describe the role of Machine Learning in BI.
Learn & build Data Warehouses, Data Marts, Data Lakes, and Data Platforms.
Understand Predictive Modeling, Regression Models, and Data Vault Modeling.
Get introduced to NoSQL, NLP, Salesforce, Apache Server.
Kickstart your career as a BI/Data Analyst or Business Consultant.
Enthusiasm and determination to make your mark on the world!
Check out the detailed breakdown of what’s inside the course
Uplatz is a UK-based leading IT Training provider serving students across the globe. Our uniqueness comes from the fact that we provide online training courses at a fraction of the average cost of these courses in the market.
Within a short span of 6 years, Uplatz has grown massively to become a truly global IT training provider with a wide range of career-oriented courses on cutting-edge technologies and software programming.
Our specialization includes Data Science, Machine Learning, Deep Learning, Data Engineering, AWS, SAP, Oracle, Salesforce, Microsoft Azure, GCP, DevOps, SAS, Python, R, JavaScript, Java, C, C++, Full Stack Web Development, Angular, React, NodeJS, Django, IoT, Cybersecurity, BI & Visualization, Tableau, Power BI, Data warehousing, ETL tools, ServiceNow, Software Testing, RPA, Embedded Engineering, Automotive Engineering, DSP, VHDL, Microcontrollers, Electronics, Computer Hardware Engineering, MATLAB, Digital Marketing, Product Marketing, Finance, Accounting, Tally, and more.
Founded in March 2017, Uplatz has seen a phenomenal rise in the training industry providing training on 300+ self-paced courses and 5000+ tutor-led courses across 180 countries having served 1.5 million students in a period of just a few years.
Uplatz's training courses are highly structured, subject-focused, and job-oriented with strong emphasis on practice and assignments. Our courses are designed and taught by highly skilled and experienced instructors who have strong expertise in varied fields whether it be Cloud Computing, SAP, Oracle, Salesforce, Programming Languages, Web Development, or any other technology and in-demand software.
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