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As the world becomes ever more data-driven, analytical skills are in high demand but very short supply. This Data Analytics Course equips you with the skills to give your organisation a competitive advantage in any industry by using data to make decisions, extract business insights, and predict future trends. This Data Analysis Course provides you with the theoretical knowledge and practical skills to understand, interpret and communicate data relevant to your role and organisation. You’ll learn to use Tableau - the industry standard software used worldwide - to visualise and report on specific insights extracted from data sets.
Data analysis is the process of extracting information from data. It involves multiple stages including establishing a data set, preparing the data for processing, applying models, identifying key findings and creating reports. The goal of data analysis is to find actionable insights that can inform decision making. Data analysis can involve data mining, descriptive and predictive analysis, statistical analysis, business analytics and big data analytics. Now that you know the answer to 'What is Data Analysis?', choose your course and start analyzing data!
Data analysis certifications and courses are available on edX from major universities and institutions including Microsoft, MIT, Columbia and the University of Adelaide. Start by learning key data analysis tools such as Microsoft Excel, Python, SQL and R. Excel is the most widely used spreadsheet program and is excellent for data analysis and visualization. Enroll in one of the free Excel courses and learn how to use this powerful software.
Python is a popular programming language for data analysis and courses exist from multiple top schools to introduce you to the language and teach you how to apply it. Take Introduction to Python for Data Science from Microsoft or Using Python for Research from Harvard. Both are self-paced, free online courses that can get you up and running.
Go further in the area of specialization of your choice. Apply your new data analysis skills to business analytics, big data analytics, bioinformatics, statistics and more. Advanced courses will take you through real-world analytics problems so that you can try various data analysis methods and techniques and learn more about quantitative and qualitative data analysis processes.