Big Data Analytics Certification Training Course

Why select this training course?

Big data in business operations and management is the next frontier of analytics, where data is at its most granular level. Big data analytics uses data and quantitative methods to improve decision-making for all activities across the organization. Big data is a term thrown around quite a bit in recent years as the amount of digital information companies gather and the store has grown. This big data can improve performance, gain insight into activities, and reduce costs. Big data analytics is a process of extracting useful information out of massive volumes of varied data. It is responsible for transforming raw data into useful information which can be utilized to plan, predict and manage the future course of action more effectively.

How is big data analytics becoming a key strategic differentiator for companies today?

Big data analytics provides a deeper understanding of the state of your business and how to improve performance. It is about getting the maximum value from the data generated in your organization to improve performance and gain a competitive advantage. Organizations are becoming increasingly complex, with a growing need to understand, predict and optimize every aspect of your business operation – from demand forecasting, order planning and inventory management to supplier selection, transportation planning and customer logistics services.

How is big data analytics benefitting companies?

Big Data Analytics can dramatically improve supply chain and logistics operations and increase ROI. Predicting and working on customer requirements becomes a lot simpler, improving customer satisfaction and loyalty. Analytics are used to answer questions and solve problems. They can be used to find trends and correlations in data, predict the outcome of certain decisions, and measure the effectiveness of a marketing campaign. Big Data Analytics has the potential to radically improve the quality of decision-making, reduce costs, and improve services. The field of Big Data Analytics is experiencing a major shift from traditional Data Science techniques to modern techniques that can harness the power of large datasets to gain deep insight into complex problems.
Rcademy’s Big Data Analytics Certification Course will help you understand the possible applications of big data analytics in the industry. The course will help you better understand how data can improve varied business activities and operations. In recent years, the accumulation of data has resulted in a whole new way of functioning enterprises. Proficient use of this technology can create a perfect planning system and help improve customer satisfaction as well as loyalty. With Rcademy’s training course, you will learn about the importance of using big data to boost operational capabilities and how it can support analytical decision-making at various levels through real-world case studies.

Who should attend?

The course is a pre-requisite for individuals looking to shape themselves as an asset for their data-centric organizations:

• Data analysts
• Chief Data Officers
• Data Governance managers
• Data Scientists
• Data administrators
• Business analysts
• Managers and professionals from different walks of life
• Financial analysts/financial statement analysts
• Quantitative analysts
• Finance managers/strategic managers
• Entrepreneurs

What are the course objectives?

The course objective is to build a strong foundation in Big Data Analytics:

• To understand the foundational concepts of big data and its various applications
• To utilize big data analytics to gain a better understanding of customers and work on achieving customer satisfaction
• To gain exposure to the latest tools and techniques available in big data analytics for various operations
• To get acquainted with best practices and emerging trends around the globe in the field of big data analytics
• To learn efficient ways of reducing cost and time through the successful use of big data analytics
• To discover ways to recognize patterns in unstructured data and thereby improve decision making
• To appreciate the way big data analytics has transformed the functioning of business enterprises
• To learn to use big data analytics for the optimization of various business resources
• To gain a data-driven competitive advantage over peers through the effective use of big data analytics

How will this course be presented?

• Interactive sessions
• Live Projects
• 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: Introduction to Big Data

•  Origin of Big Data
•  Why is it important?
•  The Implication of Big Data
•  Big Data Analytics
•  Cloud Computing
•  Structured and Unstructured Big Data
•  Challenges of Big Data
•  Five Vs of Big Data

Module 2: Benefits of Big Data Analytics

•  Reducing costs
• Identification of risks
• Forecasting future demand
• Use of AI in Preparing for the Future

Module 3: Big Data in Logistics and Supply Chain

•  Big data at the planning stage
•  Deciding inventory levels, sales data
•  Sourcing and development
•  During execution
•  Big Data Analytics dimensions

Module 4: Big Data Analytics Lifecycle

•  Data discovery
•  Identifying data sources
•  Data Preparation
•  Model planning
•  Data Exploration
•  Cleansing data

Module 5: Big Data Analytics: Advanced Methods I

•  Machine learning
•  Clustering
•  K-means clustering
•  Hierarchical clustering
•  Decision trees

Module 6: Big Data Analytics: Advanced Methods II

•  Regression analysis
•  Time series
•  Trend analysis
•  Online learning

Module 7: Text Analytics

•  Steps involved in text analytics
•  Text extraction and text classification
•  Creating visuals of results
•  Natural language Processing
•  Preparing unstructured text
•  A common application of text analytics

Module 8: Data Visualisation

•  Charts and plots
•  Multivariate data visualization
•  Visualization techniques: pixel, geometric, icon-based, hierarchical visualization
•  Visualization tools

Module 9: Application of Big Data Analytics

•  Managerial analytics
•  Customer-facing analytics
•  Operational analytics
•  Risk detection and risk management
•  Business Analytics
•  End user analytics