BUSINESS DATA ANALYTICS

About this Course

  • 230 students enrolled
  • 6 instructors

Course Description

Welcome to the ISP610 Business Data Analytics Course! As a participant in this course, you will have the opportunity to gain a solid understanding of the fundamentals of data analytics, focusing on using these skills to solve real-world business problems. Throughout the course, we will explore various methods, including web scraping, NoSQL modeling and manipulation, sentiment analysis, and natural language processing, all of which will help you develop a well-rounded skillset in the field of data analytics.

Course Learning Outcomes

1 ) Evaluate appropriate text analytical techniques in business problems
2 ) Demonstrate digital skills in tasks related to business data analytics application
3 ) Display practical skills in handling multiple operations on the different forms of data.

Course Details

STATUS : Open
DURATION : FLEXIBLE
EFFORT : 4
MODE : 100% Online
COURSE LEVEL : Beginner
LANGUAGE : English
CLUSTER : Science & Technology ( ST )

Join this course

 Syllabus

i. Types of data
ii. Value of data in decision-making
iii. Competitive advantage through data analytics

i. NoSQL database vs. SQL database
ii. Modelling unstructured data for NoSQL
iii. NoSQL data manipulation

i. Categories of analytics methods.
ii. Applying analytics methods to business problems.
iii. Model evaluation.

i. Sentiment analysis.
ii. Text classification.
iii.Challenges.

i. Overview of NLP
ii. Applications
iii. Stages

i. Hadoop ecosystem.
ii. MapReduce paradigm.
iii. Emerging Technologies

Our Instructor

DR. RUHAILA BINTI MASKAT

 Course Instructor
UiTM Shah Alam

DR. EZZATUL AKMAL BINTI KAMARU-ZAMAN

 Course Instructor
UiTM Shah Alam

TS. DR. NURUL HUSNA BINTI MAHADZIR

 Course Instructor
UiTM Kampus Sungai Petani

FARAH SYAZWANI BINTI MOHAMED RASHID

 Course Instructor
UiTM Shah Alam

TS. DR. SAIDATUL IZYANIE BINTI KAMARUDIN

 Course Instructor
UiTM Shah Alam

DR. AZLIN BINTI AHMAD

 Course Instructor
UiTM Shah Alam

 Frequently Asked Questions

A1 : Business Data Analytics uses statistical and computational methods to extract insights from data to help businesses improve decision-making, optimize operations, and gain a competitive advantage.

A2 : Business Data Analytics provides businesses with the ability to gain insights from their data, which can help them identify trends, improve decision-making, optimize operations, and gain a competitive advantage.

A3 : To become a Business Data Analyst, you need to have a strong foundation in mathematics, statistics, and computer programming. It is also important to have strong analytical, problem-solving, and communication skills.

A4 : Businesses can use Business Data Analytics to improve their operations by identifying inefficiencies, optimizing processes, and predicting future trends. For example, data analytics can be used to improve supply chain management, reduce inventory costs, and optimize production schedules.

A5 : Business Data Analytics has numerous real-world applications, including fraud detection, customer segmentation, marketing optimization, risk management, and predictive maintenance.