Rating : 4.4 Whether you’re interested in subjects like R, Python, or Excel and SQL, Udemy has a course to prepare you for your future. It is taught as a specialization in Master of Business Management (MBA). "description": "Learn how to lead your firm to make better business decisions using analytic methods and create competitive advantages from data", The Art Of Service 4.0 (171) "item": { In particular, the 5 courses will cover Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python and Applied Social Network Analysis in Python. With a thorough content and in-demand topic, this course can help you to set on the right career path. End the journey by using a checklist to score any company on it is embracing big data culture. If you are specifically interested in learning the nuances of marketing analytics, then do check out our compilation of marketing analytics course. – Structure your presentation, and include insights and suggestions. Knowledge of business analytics helps to turn data into actionable intelligence, thus making it quite crucial to the success of any organisation. 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. Learn analytics with free online courses. This course will expose you to the data analytics practices executed in the business world. "url": "https://www.codespaces.com/best-business-analytics-certifications-courses-trainings.html#7-business-analytics-for-datadriven-decision-making-by-boston-university-(edx)", -Plenty of assignments to practise the concepts covered in the lectures. 2. Duration: 13 weeks, 10 to 15 hours per week. Data-driven Decision Making – Here you will be introduced to big data, how it is used and a framework for conducting Data Analysis and tools and techniques that are commonly used { You will need PowerPivot and MS Excel to complete some of the exercises in the course. The key areas covered in this course are Data Collection, Data Visualizations, Descriptive Statistics, Basic Probability, Statistical Inference, and Creating Linear Models. With numerous assignments, assessments, and projects this is the perfect place to get a step closer to becoming a data scientist. } "name": "Wharton, University of Pennsylvania on Coursera" "@type": "Course", This Specialization is designed for students and professionals interested in practical applications of business analytics techniques and big data. "provider": { } } _g1 = document.getElementById('g1-logo-mobile-inverted-img'); }, – Get hands-on and work on practical assignments to practice the topics and techniques covered. } Individuals who have no coding experience and still interested in learning applied business analytics can take help from this program. 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. – Lots of exercises to follow along with the lectures for better understanding. – Get an introduction to data analytics and its role in the business decision. According to a 2016 report by McKinsey and Company, the data doubles in volume every three years. Gain the capability to make impactful business decisions based on logical calculation and prediction and not on simple intuition. } "position": "2", This course introduces Business Analytics, tells difference between Business Analytics and provides an overview of problems solved by Business Analytics professionals. This course has been designed for learners who are new to the field of data and analytics. } This course will help you master the core statistics knowledge for a career in data science. All these courses include video lectures, quizzes, programming assignments, peer-reviewed assignments, and community discussion forums. This Certification program on Business Analytics Fundamentals aims to provide principles and practical applications of business analytics. Duration : 20 weeks, 2 to 5 hours per week var _g1; Sign up Here. So if you want to discover the power of information and the techniques to extract insights from them through inspiring examples and stories then this is the place to be. Duration : 16 weeks, 2-5 hours per week "description": "Learn the core stats for a data science career. { It imparts foundational and practical skills and knowledge to analyse and understand data, present your findings effectively and draw meaningful conclusions about data. After this move on to real-world examples of relevant challenges which will teach you how to apply this knowledge to boost your career. Learn Business Analytics. – Introductory lessons talk about how to optimize classroom experience. -The complete videos and study materials are available for a nominal price. This course provides a hands-on approach to anyone looking for better handle on business analytics. -Acquire the ability to explain complex analytical models and results easily with the help of demonstrations. – The lectures are broken into small pieces and each of them is followed by a question to assess the understanding of the material. }, Wish you a Happy Learning! This course is not based on rote memorization of equations or facts, but focuses on honing your understanding of key concepts, your managerial judgment, and your ability to apply course concepts to real business problems. Learners need to complete all the 4 courses to earn MicroMasters program certificate from ColumbiaX. "@type": "Organization", – Key analytic technologies and techniques such as predictive modeling and machine learning and the role that can be played in managerial decision making. Rating : 4.5 The course begins with introduction to best practices for using data analytics, identifying key metrics etc. "position": "3", You should also check out our specific compilation of predictive analytics course. – There is no prerequisite to enroll in this nano degree. We assume you agree to our use of cookies by clicking on any button, link or continuing to browse our site. Nowadays, making decisions just on the basis of intuition is not enough. Coursera Data Analytics Courses (Coursera) Coursera offers hundreds of data analytics courses … }, You will learn basic data types, sampling methods and surveys. Business analytics requires understanding big data, machine learning, and data visualization. Apart from obtaining the data the lectures also talk about important steps such as cleansing and analyzing the data, performing analysis deriving and communicating insights from it. Data Analysis and Presentation Skills: the PwC Approach Final Project – This will bring together all the new skills and insights you’ve learned through the four courses, Duration : 21 weeks, 3-4 hours per week By the end of the certification, you will be able to provide crucial insights by recognizing, interpreting and summarising data. }, "name": "Business Analytics Fundamentals", "@type": "ListItem", "@type": "ListItem", – Learn how to evaluate and improve your organization’s analytical maturity and quality, as well as the current data protection infrastructure of your organization, – Understand the process of identifying suitable cause and effect variables and factors that can create biased results, – Learn how measurements, people, and technology can be accessed and leveraged to meet organizational goals while pinpointing pertinent AI risks, – Be able to evaluate organizational needs for data science personnel and analytical technological infrastructure, and recognize factors that can compromise critical data integrity, – Earn a certificate after finishing the program with given capstone project and exercises. – A practical business analytics program ideally designed for data and technology specialists, general managers, and senior executives, consultants, functional leaders, and senior executives, – learn how linear regression algorithms can outperform talent scouts for player selection, and how deep learning algorithms enable machines to read numbers with open-source frameworks, – Get access to interactive discussion posts, highly visual learning techniques, non-technical curriculum for business professionals, hands-on application exercises, and optional code snippets for R and Python, – Be able to use analytics for understanding your customers so that you can provide them valuable services. 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