TOP 10 BIG DATA ANALYTICS COURSES IN SINGAPORE - PAGE 4

Acquire essential knowledge on the role of data analytics in various industries and decision-making processes and the prowess of Python Programming x ChatGPT as a tool for data analysis

Learn how to use popular Python libraries for data visualization, such as Matplotlib, Seaborn, Plotly, or Bokeh to create basic visualizations like bar charts, line plots, scatter plots, histograms, and pie charts.

Numerous organizations and individuals today are embarking on the journey of digital and data transformation. Business intelligence is the process of turning data into actionable insights that help a company accomplish its objectives.

This workshop aims to provide a broad but practical overview of the entire analytics value chain; with a focus on using data visualization to convey intended messages from the data to an audience.

Power BI is one of the leading platforms in data visualization and is widely used in many organizations. This workshop is targeted at intermediate Power BI users to build operating skills that go beyond simply loading data and building simple charts.

Power BI is a business analytics app by Microsoft. It is an interactive visualizations and business intelligence and management app designed for business users to create their own reports and dashboard.

The PL-300T00: Microsoft Power BI Data Analyst certification is a qualification necessary for individuals who analyze and visualize data using Power BI.

The Big Data course is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark. In this hands-on Hadoop course, you will execute real-life, industry-based projects using Integrated Lab.

In this modern business world, a company’s sales figures, performance and achievements alone will not help steer a business forward. Predictions about the direction of the business must reach you beforehand to take necessary action. In order to study the large volume of Big Data,

The Data Analytics module covers the main concepts and skills needed to analyse statistics, prepare data sets, summarise data, and create data visualisations.