This certificate program on Data Analytics Course provides an overview of how Python and R programming can be employed in Data Mining of structured (RDBMS) and unstructured (Big Data) data. Comprehend the concepts of Data Preparation, Data Cleansing, and Exploratory Data Analysis. Perform Text Mining to enable Customer Sentiment Analysis. Learn Machine learning and developing Machine Learning Algorithms for predictive modeling using Regression Analysis. Assimilate various black-box techniques like Neural Networks, SVM, and present your findings with attractive data visualization techniques. By Data Analytics course in Malaysia, students will be empowered with skills in Data Analytics, Data Mining, Machine Learning, Predictive Modelling, and Regression Analysis in addition to programming languages Python, R and Tableau.



What is Data Analytics?



Data Analytics is the process of delivering valuable insights from data through quantitative and qualitative approaches. The process consists of extracting data and categorising it into various forms, to make it resourceful and valuable. At present many Data Analytics techniques use software combined with Machine Learning algorithms, Artificial Intelligence, and other specific features.



The various types of Data Analytics are Prescriptive Analytics, Predictive Analytics, Diagnostic Analytics, and Descriptive Analytics. Every organisation is getting morphed to a data-driven industry. It has to depend on categorising and analysing data for making productive decisions. Globally in many companies, Data Analytics is used to deliver operational efficiencies and unprecedented opportunities.



A Data Analyst has to explore or fetch data from various sources and design it to maintain resourceful databases and data systems. Data visualization, Data mining, Data cleaning are part of the roles of Data Analyst. A skilled Data Analyst should have statistical and domain knowledge. There are other roles of Data Analyst in various fields such as Marketing Analyst, Operation Analyst, Financial Analyst, Digital Analyst, etc. There is substantial demand for Data Analysts but there is a lack of supply. There is a huge requirement of skilled Data Analysts and people who love analytics can undoubtedly opt for this career. Apart from the lucrative income, there are excellent perks and a lot of liberties. In every sector Data Analysts are necessary to analyze data, they are not limited to specific terrain.