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Submission: On January 05 via manual from ES — Scanned from ES
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Submission: On January 05 via manual from ES — Scanned from ES
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APPLY NOW DATA ANALYTICS MICROCREDENTIAL Start your way. 15 weeks. $333/week. APPLY NOW Next Class -------------------------------------------------------------------------------- Jan 29 Apply In the workforce, understanding data, patterns and trends are essential skills. Get started faster than ever before. Skills to be future focused. Whether you’re looking for continuing education or to start a career as a junior data analyst, get the Data Analysis Microcredential from Bethel School of Technology in as little as 15 weeks. Online and accessible throughout your day. Available online, coursework is accessible and works with your schedule. Community and spiritual mentorship for the support you need. With spiritual mentorship and support, you will meet in Revival Groups to learn Christian leadership, identity formation and essential soft skills to prepare you for the next steps in your career. Get Started Request more info. Begin by requesting more information. Our admissions team will contact you. From there you’ll discover if it’s a good fit and payment options available. Start the microcredential. Class begins January 28. Join other passionate revivalists to impact the tech space, as you learn data analytics. Get hired. Upon completion of the microcrediential, you will have the essential skills to begin a career in Data Analysis. APPLY NOW Inside The Course -------------------------------------------------------------------------------- DATABASES (With SQL) Foundational knowledge of database concepts, theory, and overview. PROGRAMMING FOUNDATIONS WITH PYTHON Core programming concepts, such as variables, data types, loops, and conditional statements. DATA WRANGLING AND VISUALIZATION Students will learn data visualization techniques, including proficiency with an introduction to popular data analysis software like Tableau, enabling them to present and communicate their analysis effectively to a variety of audiences. MACHINE LEARNING AND MODELING Using Python, learn to build foundational machine learning models for predictive analysis and data insights. We built the Data Analytics Microcredential for people like you to give an all-encompassing learning experience without the steep overhead or yearly time commitment. Maybe you’re wondering if you have what it takes? Or if you need to have a foundation in code to get started? When you learn data analysis, you’ll forget being passed up for promotions and have the skills to be future focused in your career. With our proven coursework, you’ll be able to think like a data analyst, finding quick and practical solutions to problems and impacting the world around you. MAKE SURE TO EXPERIENCE GROWTH AND DON’T HIT A STAGNANT POINT IN YOUR CAREER. APPLY NOW Payment Options -------------------------------------------------------------------------------- Full Tution $5,000 15 weeks. $333/week. Monthly Tuition Payment Plans Available Based on eligibility with our lending partners. APPLY NOW FAQs What can I expect at the end of the course? Graduates of our program are well-equipped to work as data analysts, helping organizations make data-driven decisions. They excel in data collection, analysis, and visualization to provide valuable insights. Can this continued learning be covered by my employer? This program could be eligible for tuition reimbursement from your employer. Many employers offer over $5,000 in tuition reimbursement per year. What happens if I decide to enroll in the Data Science program? Are credits transferred? If you decide to continue with our 9 month program, you can transfer 8 credits. How can I know if this program is right for me? You love looking for patterns and trends. More than numbers, you are passionate about solving problems and discovering how things build upon each other. Are there minimum requirements for enrollment? A high school diploma or GED equivalent is required for enrollment. Your experience on this site will be improved by allowing cookies. Allow cookies