Business Analytics knowledge aids in the transformation of data into actionable insight, making it critical to any organization’s success. It refers to the skills, technologies, and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. In contrast, business intelligence traditionally focuses on using a consistent set of metrics to both measure past performance and guide business planning. In other words, business intelligence focusses on description, while business analytics focusses on prediction and prescription.

According to Linkedin’s Jobs on the Rise in 2021 Report, job profiles in the Data and Analytics domains are some of the fastest-growing in-demand ones. This means it is the perfect time for analytical enthusiasts to upskill themselves in the domain and build a promising career.

Business analytic tools which is mainly study to gain skills to use in business modeling, structure data and complex interpretations.

Microsoft Excel, Tableau, Python, SAS Business Analytics (SAS BA), Apache Spark

1.Wharton’s Business Analytics

Key Learning- Data analytic, Decision making, Predict customer behaviour

Course Platform- Coursera

2. Business Analytics – Nanodegree Program

Key Learning- Data analysis, Model business scenarios

Course platform- Udacity

3. Data-Driven Decision Making by Boston University

Key Learning- Machine learning algorithms, Business strategies, Data visualizations

Course platform- edX

4.Business Analytics Micro Masters Certification by Columbia University

Key Learning- Business modeling, Complex analytical models

Course platform- edX

5.Excel to MySQL: Analytic Techniques for Business Specialization by Duke University

Key Learning- analyze data, create forecasts and models, design visualizations, and communicate your insights.

Course platform- Coursera

Types of jobs

Data Scientist, Data Analyst. Data Engineer, Data Architect, Market research analyst

Where you can work:

Banking, corporate IT departments, consulting, finance, healthcare, Fintech companies

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