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You have the opportunity to demonstrate your ability to clean and manipulate a dataset. This milestone project allows you to explore your skills in the areas of statistics, Excel, SQL, and data storytelling. Milestone Project 1: Building and Presenting Data Stories You continue to keep a data story thread throughout the entire data wrangling adventure as you frame your data goals with purpose. Successfully communicating data insights depends on the audience of stakeholders and the story points that speak to their needs and expectations.
#Data analyst bootcamp how to#
In this course, you discover the power of a story and how to develop a story arc around your data goals. You develop the ability to approach real-world problems from an analytical perspective with confidence. We use Microsoft Excel to provide a practical application to theoretical discussions. This course aids you in building a strong foundation in descriptive statistics, conditional probability, and advanced modeling techniques. This course aims to enlighten you on how statistics and probability are used in business decision-making. Further, this course introduces you to database design and teaches you how to manage your own database. Using SQL, you will import data into databases, query data, join data together, filter and sort data, create views, and export data. This course provides you with an introduction to SQL, a popular language used to query databases. The third section focuses on taking those foundational data skills and using them to solve the most common business problems using programming skills, machine learning, and applied artificial intelligence. The second part focuses on data wrangling and analytics, which includes cleaning data, structuring data, and transforming data to prepare it for visualization or for use in a machine learning model. The first group of courses will cover data-driven storytelling and how to use statistics and probability to solve business problems. The main portion of the bootcamp is divided into three parts. Upon completion of the introductory course, you’ll take a summary exam and evaluate your progress to determine whether the program and industry are suitable for you.
#Data analyst bootcamp professional#
You’ll finish the intro course with at least three completed data projects, including topics in Excel, statistics, data analytics, data wrangling, SQL, scripting languages, machine learning, and artificial intelligence to help you jumpstart your professional portfolio. IBM Data Science Professional Certificateīefore you enroll in the complete bootcamp program, you’ll enroll in our 30-hour Introductory Course, which is designed to cover the fundamentals of data analytics and science and give you a sample of what you’ll cover in the complete bootcamp.IBM Data Analyst Professional Certificate.This program can help you prepare for an exciting career as a data professional by covering what you’ll need to know to sit for some of the industry’s most recognized exams, including: Microsoft Certified: Take advantage of a market-driven curriculum that's designed to close the skills gap and help you gain an edge in a competitive, rapidly-growing job market.
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This program is designed to take you from little or no experience to a ready-to-hire data professional by providing you with the most up-to-date skills and hands-on experience that companies look for. With SDSU's Data Science and Analytics Professional Bootcamp, you can become the type of professional that organizations need to make smarter, data-driven business decisions. Technological advancements are moving quickly, and, quite simply, there are not nearly enough people equipped with the skills needed to fill the open data professional positions. The workforce needs more people who can work responsibly with data, leverage the power of artificial intelligence, and build visualizations that are accessible to everyone to help the business achieve its goals. The job market has responded in kind - according to the Bureau of Labor Statistics, data science is one of the nation’s fastest-growing occupations, with an anticipated growth rate of 31% through 2029. From smartphones and social media to mobile banking and cybersecurity, our world is growing increasingly digital - and that means an increased reliance on data, data integrity, and data science. About the Programĭata is at the heart of nearly every aspect of our modern lives. This HackerU/Thrive DX program, offered in cooperation with SDSU Global Campus, will help you learn how to become an ambassador who can speak on behalf of data as your organization’s single source of truth.