Campus Affiliate | Syllabus
Big Data Analytics
The Big Data Analytics Training program provides participants with essential skills to collect, process, and analyze large datasets to drive business insights and decisions. Covering key concepts such as big data characteristics, data management, and advanced analytical techniques, the program introduces tools like Hadoop, Apache Spark, and visualization platforms like Power BI. Participants will also explore machine learning, real-time analytics, and hands-on case studies to apply big data strategies across industries. This training is ideal for professionals looking to leverage data for improved decision-making and operational efficiency.
Program Details
Durations
This program is a 3-day intensive class.
Method of Delivery
This program will consist of interactive workshop, case study, discussion, and project-based learning as effective methods in reinforcing the insights and knowledge in the optimum environment.
Who Should Attend?
- Data Analysts
- Business Analysts
- IT Professionals
- Data Scientists
- Decision Makers and Executives
- Researchers and Academics
- Entrepreneurs and Startups
- Consultants
- Students
Program Objectives
- Develop a solid understanding of Big Data fundamentals: Equip participants with a thorough comprehension of the core concepts, principles, and characteristics of big data (volume, variety, velocity, and veracity).
- Master data collection and management techniques: Teach participants how to efficiently gather, store, and manage large datasets from diverse sources using big data tools and technologies such as Hadoop, Apache Spark, and NoSQL databases.
- Gain proficiency in data processing and transformation: Enable participants to clean, transform, and prepare large datasets for analysis, ensuring data quality and readiness for further exploration.
- Learn advanced analytical techniques: Introduce participants to predictive analytics, machine learning, and real-time data processing, helping them apply these methods to uncover actionable insights from complex datasets.
- Enhance data visualization skills: Teach participants how to effectively visualize big data insights using tools such as Tableau, Power BI, and Python libraries, ensuring clarity and comprehension for business decision-makers.
- Apply big data analytics in real-world scenarios: Provide hands-on experience with case studies and projects that demonstrate how big data analytics can be leveraged to solve practical business challenges across industries like finance, healthcare, and retail.
- Develop strategic decision-making skills: Enable participants to use big data insights to drive business strategy, optimize operations, and improve customer satisfaction.
- Gain familiarity with big data tools and platforms: Ensure participants are proficient in using key tools and technologies that support big data analytics, such as cloud platforms, distributed computing systems, and big data storage solutions.
Examination Details
Participants will complete an exam consisting of 50 multiple-choice questions, with a time limit of 90 minutes.
Program Modules
Introduction to Big Data Analytics
Topic Covered
- Overview of big data concepts (Volume, Variety, Velocity, Veracity)
- Importance and impact of big data in business
- Key technologies in big data