Top Business Analytics Online Courses and Trainings for 2022 – Analytics Insight

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Business analysts use a range of statistical and quantitative methods, tools, and predictive models to gain insights and make data-driven decisions. Here are the top business analytics online courses that are available online including both free and paid resources. While most of these can be taken up by complete beginners, a dew is advanced-level courses that require some prior knowledge.
 
Duration: 20 weeks, 2 to 5 hours per week
It is one of the top business analytics online courses that were designed by Wharton School for people willing to understand how business decisions are made using big data. The course helps you to promote a deep understanding of how big data and analytics are used in areas such as marketing, human resources, and talent management. It comprises 4 targeted courses such as customer analytics, people analytics, operations analytics, and accounting analytics, and culminates with a business analytics capstone project.
 
Duration: 5 courses, 4-6 weeks each course, 3-5 hours each week
This is one of the best business analytics courses that is offered by Duke University in partnership with Coursera. If you are interested in dealing with data analysis this is the best course as you will be able to learn about the tools such as Excel, Tableau, and MySQL to analyse data and to create forecasts and models, design visualizations, and communicate the insights. The course begins with an introduction to best practices for using data analytics and in identifying key metrics.
 
Duration: 4-5 months, 3-5 hours per week
This specialisation is based on a summer boot camp that is run as part of the Masters of Business Analytics Program at the University of Colorado Boulder Leeds School of Business. It is one of the top business analytics online courses that helps you to think about business analytical problems. You will learn practical skills such as how to extract and manipulate data using SQL code, how to execute statistical analysis for descriptive and prescriptive analysis, and how to discuss, interpret and predict analytical results.
 
Duration: 21 weeks, 2-4 hours per week
This specialisation by PwC is designed to provide you with practical training in data analysis, so you can understand data, apply data analytics tools and create effective business intelligence presentations. This is one of the business analytics and statistics required. There are five courses in this specialization: data-driven decision making, problem-solving with excel, data visualization with advanced excel, and effective business presentations with PowerPoint and data analysis and presentation skills.
 
Duration: 3 months, 10 hours per week
In this Business Analytics Nanodegree specialisation, you will master foundational data skills that apply across several functions and industries. It mainly focuses on how to collect and analyse data, model business scenarios and communicate your findings with SQL, Excel, and Tableau. The curriculum has developed in collaboration with Tableau and Mode, with the needs of the industry in mind. This is one of the best business analytics online courses to get enrolled in 2022.
 
Duration: 4 weeks, 4-6 hours per week
This is one of the top business analytics online courses that aim to provide principles and practical applications of business analytics. It imparts foundational and practical skills and knowledge to analyse and understand data, present your findings efficiently and draw meaningful conclusions about data. It covers the latest modelling techniques and advanced Excel functions. The key areas covered in this course are data visualizations, data collection, descriptive statistics, basic probability, statistical inference, and creating linear models.
 
Duration: 8 weeks, 3-6 hours per week
This is one of the best business analytics online courses to help you make better business decisions using analytic methods. You will also understand how to infer and present insights from the analysis. Thus, this course teaches the complete end-to-end process of making effective data-driven and evidence-based decisions.
 

 
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