This offer excludes application and recertification fees. I have selected a few of them. By the end of this course, you will become proficient in developing business intelligence insights and applying various techniques to handle large-scale problems. If you work with project teams and manage requirements or product development, or if you’re a project or program manager who performs business analysis in your role, then the PMI-PBA ® certification is right for you.
Go through these in a sequential manner: Becoming a Business Analyst Duration: 20 weeks (approx. -44 Lectures + 2 Articles + Full lifetime access. To get started in the field of data science, this IBM specialization is all you need to work on the projects available in the industry. – Wharton Business Analytics Certificate Review: Great investment for anybody looking to sharpen their skills in customer analytics, operations analytics, people analytics, and accounting analytics. Imperial Business Analytics: From Data to Decisions (Imperial College Business School), 6. Business Analytics Certification by Columbia University (edX), 7. Business Analytics for Strategic Decisions (National University of Singapore), 8. The UBC Certificate in Business Analysis consists of seven required courses in the program, delivered online with an online instructor. After completing this program, you will be able to effectively evaluate recommendations and communicate credibly with those who have in-depth technical knowledge in this field. – Get hands-on and work on practical assignments to practice the topics and techniques covered. – Work on a real-world project to implement the knowledge acquired from the lectures. Get 20%* off our full suite of certification exams including ECBA™, CCBA®, CBAP®, IIBA®-AAC, IIBA®-CBDA and IIBA®-CCA when you write the exam between November 1 to December 31, 2020. – Well structured program, comprising of 5 courses. Using the statistical software R you will have the opportunity to build models and work with data. 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. Develop your skills to support successful business change programmes; Along with this learn topics such as distributions, central limit theorem, statistical significance and much more. The program is included with a variety of case studies throughout the classes that are provided to prepare you for contributing to problem-solving and lead teams of data scientists. -There are a sufficient amount of exercises to practice the skills covered in the lectures. – 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. Start achieving your business analysis goals with our convenient online exam access from anywhere in the world. Taking this program will help you learn the techniques that are required to transform a business into a data-driven organization. – Clear guidance is provided to go through with the necessary installations, configurations, and guidance. This course will equip you with the skills to use data to your advantage and turn the tables in your favor regarding your business. – A wide variety of examples helps you to get a clearer view of the topics. Before or after taking your first course, you are required to submit a program declaration form. Review : It’s the first course from the specification, which makes us better understand the necessary business metrics for data-driven companies, and it is a good entry for following modules. – Key analytic technologies and techniques such as predictive modeling and machine learning and the role that can be played in managerial decision making. – The complete set of lectures are broken into appropriate sections which makes it easy for the students to follow.