Professional Certification in
Business Analytics in USA
- 72 Hours Classroom & Online Sessions
- 140+ Hours Assignments & eLearning
- 100% Job Assistance
- 2 Capstone Projects
- Industry Placement Training
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3152 Learners
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"The demand for Business analysts will uptick by 15% till 2026 as companies improve efficiency and control costs." - (Source). The United States of America has long been the bastion of technological advancements and leading the way in Big Data Analytics and Artificial Intelligence. According to Deloitte’s Analytics team, business analytics is becoming mainstream but it still has a long way to go. While the paper lists a variety of reasons for that, the skills shortage is also mentioned as one among them. The opportunities for this field are not even at full potential and yet there are concerns that there is a skills gap – this sheds light on the huge requirement for analytics professionals when business analytics becomes even more mainstream. Business analytics has aided in understanding the way business works and has decreased the chances of making poor investment decisions. Hence, the time is ripe for all professionals in the USA who want to pursue a career in analytics to join this course in Business Analytics and get accustomed to this exciting field and reap the benefits well into the future!
Python & R Program
Total Duration
4 Months
Prerequisites
- Computer Skills
- Basic Mathematical Concepts
- Analytical Mindset
Business Analytics Certification Course Overview
Harness the power data with advanced analytics and statistical tools in your current profession with our Professional Certification in Business Analytics. Develop and deploy Machine Learning powered predictive analytics to make data-driven business decisions. Additionally, gain mastery of Tableau to create powerfully insightful visualizations to story-tell your business needs.
The Professional Certification in Business Analytics is a foundation course for entry-level and seasoned professionals alike who want to imbibe cutting edge data skills in their current (or prospective) industry domain or function area. This course will help you become a Business Intelligence and Data Visualization expert and surge ahead in your career. The Business Analytics certification course covers all the essential Analytical and Statistical techniques for effective business decision - making. In addition to that, the course also introduces participants to basic python language concepts.
Define Business Analytics?
The goal of business analytics is to collate, sort, process, and study business data. It is the process that uses statistical models to convert data into business insights. It also aims at determining which datasets are going to be useful in solving problems and recommending actions to maximize ideal outcomes in areas of efficiency, productivity, and revenue. To accurately predict future events and market trends they use statistics, information systems, computer science, artificial intelligence, and deep learning to understand complex data sets and identify patterns. It then recommends strategies that can drive consumers toward a desired intention.
Business Analytics Training Learning Outcomes
The end goal of every business is to Enhance product value for complete customer satisfaction. This course in Business Analytics aims at preparing candidates for the demands of the global business environment. Decision making plays a critical role in making or breaking a company’s goals and analytics gives the power to make accurate decisions faster and more efficiently and could leverage businesses. Analytics also provides clearer insights through Data Visualization using comprehensive charts and graphs that help in extracting relevant and useful insights from data in a much clearer way. In this course, students will learn the skills of collecting data, mining data, performing Text Mining to generate customer sentiment analysis, and explore the various analytics tools and techniques including descriptive and predictive analytics. Students will acquire skills needed to analyze and evaluate appropriate business strategies used for promoting a new or existing product or service by integrating marketing concepts, and strategies. They will also learn to create a business report communicating the various practices and theories involved in incorporating principles of marketing, economics, accounting, operations management, and finance. With this course acquire new skills and fast track your career in Business Analytics. You will also learn to
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Who Should Sign Up?
- IT Engineers
- Data and Analytics Manager
- Business Analysts
- Data Engineers
- Banking and Finance Analysts
- Marketing Managers
- Supply Chain Professionals
- HR Managers
- Math, Science and Commerce Graduates
Business Analytics Course Modules
This course is designed to empower you with essential techniques, tools, and skills you will need to excel in this field. The aim of this module is to build your understanding and capabilities in designing, structuring, and analyzing data. The module on business analytics will cover Hypothesis testing, Linear regression, Black Box techniques, Data Mining and many more to demonstrate familiarity with analytical tools. Learn various Hypothesis Tests to solve business problems. Using a simple mathematical formula, the equation of a line, you can predict an outcome. Understand the art of improvising the results of Prediction Models. Understand the different regression techniques, like Logistic Regression and Poisson Regression, etc. used for discrete data.
Understand what is Data Science, Machine Learning, and Artificial Intelligence. Learn the applications and approaches to implement Analytical solutions to an organization using business data. You will learn how to implement Descriptive and Predictive Analytics as part of this module.
Inferential Statistics is the study to evaluate results for a population using a subset of data. The assumptions made for business problems are analyzed using Inferential Statistics. Learn various Hypothesis Tests to solve business problems. Using a simple mathematical formula, the equation of a line, you can predict an outcome. Understand the art of improvising the results of Prediction Models.
Line Assumptions are the prerequisite and post requisites for developing a Regression Model. As part of this module learn to deal with conditions that may arise while developing a Prediction Model. Understand the different regression techniques, like Logistic Regression and Poisson Regression, etc., used for discrete data.
Descriptive Analytics analyses historical data and can explain scenarios that happened in the past. The information generated from this preliminary analysis is subjected to Data Mining techniques to obtain the desired results. Understand the different mathematical approaches for Descriptive and Predictive Analysis as part of this Data Mining module.
Learn to predict categorical data using Classifier Techniques. In the industry, the classification techniques are predominantly used to solve prediction problems. You will learn these popular techniques and the math behind these algorithms. Learn to analyze the unstructured text data by extracting features from the data. Apply probability-based classification techniques to predict outcomes using text data.
Deep Learning techniques are based on Black Box techniques. As part of this module, you will learn the most commonly used Deep Learning Algorithms. Learn how to deal with unstructured data, the art of developing a Neural Network and the different types of Neural Networks. Support Vector Machine is a kernel-based technique to classify the non-linear data in multidimensional spaces. Understand how time-series data is different from the regular data, learn to interpret the effects of time on the data. You will learn methods used to perform forecasting on time series data.
Reporting is an essential stage of Data Analytics. You will learn the most famous business intelligence tool Tableau and its capabilities. Learn the Data Visualization rules and differentiate a good visualization from a bad visualization.
Learn to tell stories on data using graphs and plots. Learn how Tableau can be used to tell patterns and anomalies in the data. Learn the features like parameters, filters, Quick Table calculations, sets, etc., to segregate the data.
Learn how to use Calculated Fields in Tableau to customize and create new attributes. Tableau Maps feature which is a unique feature will automatically help to define stories using world maps. You will learn to add customized maps and background images for creating customized visual information. Learn to use dashboards and stories using multiple worksheets in sequence and create a story on business data.
Business Analytics Trends in USA
The epic amount of data that is now available to businesses has driven business analytics to new heights. Most companies understand the impact of data analysis on the decision-making process and in meeting new challenges. When it comes to Business Analytics it becomes essential for brands to gather, analyze, and put these big data sets to good use. Business analysts use various quantitative techniques to assist decision-makers in making more informed decisions. Techniques like data mining, optimization tools, statistics, and simulation are used to predict in context to the future business activities and for continuous process improvement through monitoring and learning. Business analytics has been rapidly gaining popularity and accomplishing goals that include gaining insights into business practices and customer behaviors, identifying risk, improving predictability, improving the effectiveness of communication, and enhancing operating efficiency.
Some of the trends in business analytics that will be the driving force behind successful digital transformation initiatives include the wide application of Artificial Intelligence to scan huge amounts of data and find correlations in them. With an ever-increasing expansion of data and emphasis on digitization in every aspect of life, Big data will be around for a while. The other trend to take over will be combining reporting with business intelligence which will provide insights that can be used to improve decision making. With the growing demand for high-quality, high-precision analytics we will see many new tasks being automated. The other trend to look out for will be Blockchain which will be used to ensure the immutability of data across a network of multiple participants. Also, to keep up with rising demand and bridge the talent gap in this field join this course in Business Analytics and learn skills to strengthen your organization.
How We Prepare You
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Additional Assignments of over 140 hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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3 Month Access to LMS
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24/7 Support
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Job Assistance in Business Analytics Fields
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Complimentary Courses
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Unlimited Mock Interview and Quiz Session
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Hands-on Experience in a Live Project
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Life Time Free Access to Industry Webinars
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