Business data science deals with studying collected data from the past in order to gain actionable information. In order to drive a business that gives the most out of the resources available, one must be aware of how the business has been performing so far in order to make necessary changes. business data science can help provide and deduce this information in order to help make the decisions. As the data has increased in size due to development in technology, it was necessary to learn the same technology in order to help break down this data. business data science students are taught advanced software and writing algorithms in advanced machine language, skills that require skilled teachers in order to be taught.
Online Courses by Wharton University – The Wharton School has designed this business data science specialization for anyone interested in understanding how business decisions are made using big data. You'll learn how data analysts describe, predict, and inform business decisions. This program aims to promote a 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.
Online Courses by Duke University -This Specialization is offered by the most prestigious Duke University in partnership with Coursera. It is intended for anybody who is interested in data analysis and its applications in decision-making. In this program, 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 the profits of residential rental property companies. This capstone project has been designed with help of Airbnb (Capstone's official sponsor).
Online Courses by Colorado University – This Specialization is based on a summer boot camp that is run as part of the Masters of business data science Program at the University Of Colorado Boulder Leeds School Of Business. The focus of this program is to teach real-world business analytical skills so that you can leverage data to solve complex business problems. In addition to learning how to think about business analytical problems, you will learn practical skills such how to extract and manipulate data using SQL code, how to execute statistical analysis for descriptive, predictive, and prescriptive analysis, and how to discuss, and interpret and predict analytical results.
Online Courses by PwC – This specialization 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. You'll learn how to use Microsoft Excel, PowerPoint, and other common data analysis and communication tools. 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 data science and statistics is required. You will need PowerPivot and MS Excel to complete some of the exercises in the course.
Online Courses on Udacity – In this business data science Nanodegree specialization, you will master 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.
Online Courses by Babson College – This Certification program on business data science Fundamentals aims to provide principles and practical applications of business data science. It imparts foundational and practical skills and knowledge to analyse and understand data, present your findings effectively 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 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. The lessons are structured well and paced perfectly to make them easier to grasp.
Online Courses by Boston University – The aim of this course is to help you make 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 prepare that data for analysis. You will practice how to create compelling data visualizations and learn about the tools to achieve that. 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. This course is a part of two MicroMasters programs – Digital Product Management and Digital Leadership. It is an advanced-level course and lists elementary knowledge of statistics as a prerequisite for taking this course. It is designed for those who need to manage teams of business analysts and data scientists or wish to perform analysis of data themselves.
Online Courses on Udemy Statistics is a skill that is very underrated 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 on their basis. 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. It includes real-world examples of business challenges to show you how you could apply this knowledge to boost your career. You will master topics such as distributions, the z-test, the Central Limit Theorem, hypothesis testing, confidence intervals, statistical significance and many more. This course is for anybody wanting to learn stats from ground up. It is very well suited for individuals who are working as data scientists or business analysts and need a refresher course on statistics. The instructor Kirill Eremenko is a very popular teacher on Udemy with a rating of 4.5 and has taught almost 900,000 students. He delivers the lessons in a fun way and tons of examples included make it easy to understand complex concepts.
Online Courses by Columbia University – This MicroMasters program in business data science is a professional and academic credential offered by Columbia University on the 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. The 4 Masters's level courses cover the following topics – Analytics in Python; Data, Models, and Decisions in business data science; Demand and Supply Analytics; Marketing Analytics. All these courses include video lectures, quizzes, programming assignments, peer-reviewed assignments, and community discussion forums. Learners need to complete all 4 courses to earn a MicroMasters program certificate from ColumbiaX. This certificate counts as 7.5-course credits toward any one of Columbia University's following online or on-campus Masters's programs – MS in Management Science & Engineering, MS in Operations Research, MS in business data science, and MS in Marketing Science.
Online Courses by Essec Business School – This Specialization is designed for students and professionals interested in practical applications of business data science techniques and big data. It covers a wide variety of analytics approaches in different industry domains including media, communications, public service, etc. Learners who complete this specialization will be fully accomplished experts in big data management, with a robust understanding of how data can be used to leverage strategic value. They will be able to combine and manipulate data sets and interpret them. The courses also prepare them to present their interpretations and value case to potential stakeholders successfully.
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