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Top 10 Recession-Proof Business Analytics Courses to Land WITCH Jobs

Jayanti

The article lists the top 10 recession-proof business analytics courses to gain massive success

With the massive amount of data in the 21st century, the demand for business analytics that can collect and analyze this data has increased manifold. According to a 2016 report by McKinsey and Company, the data doubles in volume every three years. There is a shortage of 1.5 million business professionals skilled enough to use this data to make sound business decisions. Here, knowledge of business analytics courses can be a game changer. Top business analytics courses help you to gain an understanding to turn data into actionable intelligence, thus making it quite crucial to the success of any organization. Business analytics courses offer you access to use a range of statistical and quantitative methods, tools, and predictive models to gain insights and make data-driven decisions. Here we will see a list of top-ten picks for recession-proof business analytics courses that will help you understand the fundamentals of business analytics and equip you with the necessary knowledge about the right tools and techniques. These business analytics courses will open the gateway to better opportunities for all learners. These best business analytics courses to land WITCH jobs are available online with both free and paid resources. While most of these can be taken up by complete beginners, a few are advanced-level courses that require some prior knowledge.

This Specialization is based on summer boot camp that is run as part of Masters of Business Analytics Program at the University Of Colorado Boulder Leeds School Of Business. The program aims to teach real world business analytical skills so that you can leverage data to solve complex business problems. In addition, you will learn practical skills such as how to extract and manipulate data using SQL code, how to execute statistical analysis for descriptive, predictive and prescriptive analysis, and how to discuss, interpret and predict analytical results.

Duration: 4-5 months, 3-5 hours per week

Rating: 4.6

This specific course by PWC is designed to provide you with practical training of data analysis, so you can understand data, apply data analytics tools and create effective business intelligence presentations. This course has been designed for learners who are new to the field of data and analytics. So, no prior knowledge or background in business analytics and statistics is required.

Duration : 21 weeks, 3-4 hours per week

Rating : 4.6

This is among the top recession-proof business analytics courses. Here, you will master the foundational data skills that apply across several functions and industries. It mainly focuses on how to collect and analyze data, model business scenarios, and communicate your findings with SQL, Excel, and Tableau. The curriculum has been developed in collaboration with Tableau and Mode, with the needs of the industry in mind.

Duration: 3 months, 10 hours per week

Rating: 4.6

This Certification program on Business Analytics Fundamentals aims to provide principles and practical applications of business analytics. The course covers Data Collection, Data Visualizations, Descriptive Statistics, Basic Probability, Statistical Inference, and Creating Linear Models. You will learn basic data types, sampling methods and surveys. Real-life data sets are used throughout the program with plenty of exercises and projects.

Duration: 4 weeks, 4-6 hours per week

Rating: 4.5

This business analytics course is a professional and academic credential offered by Columbia University on edX platform for online learners. It is a series of 4 graduate level courses that empower learners with the skills, insights and understanding to improve business performance using data, statistical and quantitative analysis, and explanatory and predictive modelling to help make actionable decisions.

Duration: 4 courses, 12 weeks per course, 8-10 hours per week per course

Rating: 4.5

This course is designed for students and professionals interested in practical applications of business analytics techniques and big data. It covers a wide variety of analytics approaches in different industry domains including media, communications, public service etc.

Duration: 16 weeks, 2-5 hours per week

Rating: 4.4

Statistics is a skill that is very under rated in a business setting, but is highly important. The results of any data analysis should be statistically reliable, only then can sound decisions be taken. This course will help you master the core statistics knowledge for a career in data science. It is not a regular course on statistics but a very hands-on and practical training of stats from a business perspective.

Duration: 7 hours on-demand video

Rating: 4.4

This course helps you in making better business decisions using analytic methods. You will learn to reframe a business question as an analytics question, to decide what data you need and where to obtain it, and to prepare that data for analysis. You will practice how to create compelling data visualizations and learn about the tools to achieve that.

Duration: 8 weeks, 3-6 hours per week

Rating: 4.6

In this business analytics course, you will learn to use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. It includes 4 industry relevant courses followed by a capstone project that requires learners to apply data analysis principles and recommend methods to improve profits of residential rental property company.

Duration: 5 courses, 4-6 weeks each course, 3-5 hours each week

Rating: 4.7

This course aims to promote deep understanding of how big data and analytics are used in four key areas: marketing (customer analytics), human resources and talent management (people analytics), operations, and finance. It will help learners to create new data-driven business strategies, participate in conversations about analytics, transition to a new career path, or improve their own business.

Duration: 20 weeks, 2 to 5 hours per week

Rating: 4.6

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