Data Analysis: Big Data

Learner Ground

Reed Courses Certificate of Completion

Digital certificate - Included

• Data Analysis 3:08:34

  • 1: Data Analysis Module 01 Introduction to Data Analysis 10:00
  • 2: Data Analysis Module 02 Mathematics and Statistics 25:32
  • 3: Data Analysis Module 03 Data Manipulation 13:00
  • 4: Data Analysis Module 04 Data Visualisation 33:03
  • 5: Data Analysis Module 05 Data Wrangling 08:00
  • 6: Data Analysis Module 06 Data Exploration 18:30
  • 7: Data Analysis Module 07 Machine Learning Fundamentals 21:00
  • 8: Data Analysis Module 08 Machine Learning Algorithms 35:13
  • 9: Data Analysis Module 09 Data Analysis with Python and Libraries 09:00
  • 10: Data Analysis Module 10 Data Analysis with R and Libraries 15:16
  • 11: Data Analysis Assignment -

This Diploma in Data Analysis: Big Data course explores the intersection of data analysis, IT, and business strategy in the context of the rapidly expanding world of big data. As companies across all sectors embrace digital transformation, understanding big data and data analysis becomes crucial for making informed decisions and driving growth.

Learners will delve into the core principles of data analysis, data mining, and interpretation. The course outlines how large volumes of structured and unstructured data can be collected, stored, and analyzed using modern IT tools to extract business value. From data visualization to statistical analysis, each module focuses on how data analysis supports real-world business objectives.

The curriculum covers key big data technologies and techniques, emphasizing how IT infrastructure supports the processing and analysis of massive datasets. Learners will understand how businesses harness big data to enhance operations, customer experiences, and market strategies.

By the end of this diploma, participants will be well-versed in the significance of data analysis and big data within IT and business frameworks. They will be familiar with essential tools and concepts that facilitate data-driven decision-making, and the broader implications of big data across various industries.

Throughout the course, the themes of data analysis, IT systems, business intelligence, and big data remain central, reinforcing the practical relevance of each topic in today's professional landscape.

This diploma is ideal for individuals interested in data analysis, IT, and business operations who want to gain insight into how big data drives modern decision-making. It is suitable for professionals seeking to enhance their analytical skills or those transitioning into roles that require a deep understanding of big data and data analysis in IT and business contexts. No prior experience is required, making it accessible to newcomers and experienced professionals alike.

No formal qualification in Diploma in Data Analysis: Big Data is required for this course.

Upon completion, learners can pursue roles in data analysis, business intelligence, IT support, and big data consulting. This qualification opens doors to careers that intersect data analysis, IT solutions, and business strategy.

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