Overview of Analytics Course in Kuala Lumpur

Kuala Lumpur, the capital city of Malaysia, is known for its vibrant culture, delicious food, and booming economy. As the world becomes increasingly data-driven, the demand for professionals with analytics skills is on the rise. For those looking to pursue a career in analytics, Kuala Lumpur has a number of excellent courses to choose from. One such course is the Master of Science in Business Analytics offered by the University of Malaya. This rigorous program offers students a deep understanding of advanced data analysis, as well as business strategy and innovation. Students in the program will learn how to extract insights from large data sets, visualize those insights to make them more meaningful, and develop strategies that make use of those insights. Another great option is the Certificate in Data Analytics offered by the International Islamic University Malaysia. This short program teaches students the fundamentals of data analysis, including data mining, data visualization, and predictive modeling. Graduates will be well-equipped to work in a variety of industries, such as finance, healthcare, and technology. For those interested in a more specialized analytics course, the Big Data Analytics program offered by HELP University is worth considering. This program focuses on the tools and techniques used to extract insights from massive data sets, preparing students for careers in fields like artificial intelligence, machine learning, and data engineering. In addition to traditional university programs, there are also a number of industry-specific courses available in Kuala Lumpur. For example, the Institute of Business Analytics offers courses in business analytics, data science, and machine learning. These courses are designed to be practical and hands-on, giving students real-world experience in a variety of analytics tools and platforms. Finally, for those looking for a more flexible option, there are a number of online analytics courses available in Kuala Lumpur. Sites like Coursera, Udemy, and edX offer a variety of courses in topics like data mining, machine learning, and statistical analysis. Many of these courses are free or low-cost, making them an affordable option for those on a tight budget. In conclusion, there are a wide variety of analytics courses available in Kuala Lumpur, catering to students with different levels of experience, interests, and learning styles. Whether you’re looking for a university program, an industry-specific course, or an online option, Kuala Lumpur has something to offer. With the demand for analytics professionals at an all-time high, now is a great time to invest in your analytics skills and take the next step in your career.
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Course Duration

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Internship

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Live Training

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Career Assistance

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Skillfloor Course Training Process
Skillfloor Course Training Process

Internship Certificate

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Completing this Analytics Course certifies your proficiency in data analysis, statistical methods, and essential analytics tools. This certification shows you can transform raw data into actionable insights, improving decision-making in various business contexts. It indicates your understanding of data visualization, predictive modelling, and data-driven strategy development, providing you with the skills to excel in analytics. This credential reflects your dedication to continuous learning and commitment to leveraging data for strategic advantage.

Analytics Tools Covered

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Why Choose SKILLFLOOR for Analytics in Kuala Lumpur?

Why Course Training in Skillfloor

Syllabus

- Overview of data analysis and its importance in business

- Types of analytics: Descriptive, Predictive, Prescriptive

- Role of data in decision-making processes

- Introduction to common tools: Tableau, PowerBI, Excel

- Ethical considerations in data collection and analysis

- Data sources: Primary and secondary data

- Data collection methods (surveys, web scraping, databases)

- Data cleaning techniques (handling missing values, outliers)

- Data transformation and feature engineering

- Data storage concepts (structured vs. unstructured data)

- Descriptive statistics: Mean, median, mode

- Data visualization basics (histograms, scatter plots)

- Identifying data patterns and trends

- Outlier detection and handling methods

- Correlation and causation analysis

- Inferential statistics and probability theory

- Hypothesis testing (t-tests, chi-square tests, ANOVA)

- Measures of central tendency and variability

- Confidence intervals and margin of error

- Regression analysis: Linear and logistic regression

- Principles of effective data visualization

- Types of charts and their uses (bar, line, pie, heatmaps)

- Designing dashboards for different audiences

- Interactive visualization techniques

- Data storytelling for impactful presentations

- Time series analysis and forecasting methods

- Clustering and segmentation analysis

- Decision trees and classification techniques

- Introduction to machine learning in business analytics

- Model evaluation and selection

- Basics of SQL for data manipulation

- Creating databases and relationships

- Aggregating data with SQL (GROUP BY, JOIN)

- Data modeling for business intelligence (star and snowflake schemas)

- Case study: Building a business model with SQL

- Connecting and preparing data in Tableau

- Creating basic visualizations (charts, maps)

- Advanced Tableau functions (LOD calculations, table calculations)

- Building interactive dashboards and stories

- Publishing and sharing visualizations on Tableau Server/Online

- Introduction to PowerBI workspace and components

- Data import and transformation with Power Query

- Data modeling and relationships in PowerBI

- Creating and customizing visualizations

- Publishing and collaborating on PowerBI Service

- Selecting a real-world dataset for analysis

- Defining business questions and objectives

- Conducting data analysis and visualization

- Presenting findings in a comprehensive dashboard

- Peer review and feedback on project

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