Essentially, the Data Analytics syllabus consists of Mathematics, Statistics, Coding, Business Intelligence, Algorithms for Machine Learning, and Data Processing.
Top courses available in Data Analytics are listed below:
- Data Analysis and Visualization Foundations
It has become an increasingly important part of virtually every discipline to extract information from data and to communicate results. For this data-driven transition, this specialization prepares students by teaching them the basic concepts of data analysis and visualization and by providing them with the tools and practices to effectively communicate the results of their data discoveries.
- Excel to MySQL: Analytic Techniques for Business
Students will learn to frame market challenges as data questions in this specialization. To analyze data, build forecasts and models, design visualizations, and communicate their observations, students will further use powerful tools and methods such as Excel, Tableau, and MySQL.
- Data Analysis and Presentation Skills
Students will put together all the new skills and experiences they have learned over the four courses in this Capstone Project. They will be given a problem with a ‘mock’ client and a data collection. To obtain market insights, study the domain area of the client, and generate recommendations, They will need to analyze the data. In a client-facing presentation, They then need to visualize the data In a captured video presentation.
- Data Analysis and Interpretation
In only four project-based classes, the Data Analysis and Interpretation Specialization take learners from data beginner to data professional. Using their choice of either SAS or Python, like pandas and Scikit-learn, they can apply fundamental data science instruments, including data management and visualization, modeling, and machine learning. They will evaluate a research issue of their choice and summarize the findings in the specialization. Students will use real data in the Capstone Project to solve a significant problem in society and publish the results in a professional-quality report.
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