Non-Award
Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job.
Companies of all stripes use data science to take on today's biggest challenges, tackling everything from public policy and robotics to dating and eCommerce. As a result, organizations are moving quickly to build robust in-house teams of data scientists and advanced analysts, and there's not enough talent to go around.
According to Burning Glass, "Data science and analytics skills are now widely in demand in decision-making roles, including managers across a range of industries. In fact, our data shows that more than 1.7 million job postings asked for data science skills in 2018." Learning this future-proof skill set can help you enter the next stage of your career, whether that's advancing in your current profession or exploring an exciting and lucrative field.
This is a fast-paced course with some prerequisites. Students should be comfortable with programming fundamentals, core Python syntax, and basic statistics.
Upon enrolling, you'll complete a short onboarding task and, based on your results, may be advised to take an introductory Python workshop. You'll also complete up to 25 hours of online preparatory lessons that will ensure you have the foundations to dive into rigorous coursework.
Our Admissions team can discuss your background and learning goals to advise if this course is a good fit for you.
Concentrate on the most important tools for data scientists on the job. GA's data science advisory board regularly curates the best practices and innovative teaching approaches of our entire expert network to emphasize real-world relevance and meet evolving employer demands. Its work ensures that students graduate ready to tackle the challenges they'll face in the field.
Harness the Predictive Power of DataTailored for students with quantitative or programming backgrounds, this course dives into the essentials of data science: Python programming, exploratory data analysis, data modeling, and machine learning. Get the hands-on experience you need to synthesize extremely large data sets, build predictive models, and tell a compelling story to stakeholders.
Get a Head Start With Pre-Course Prep LessonsOnce you enroll, we equip you with an additional 25 hours of online, self-paced preparatory lessons to set you up for success. Dive into the fundamentals of Python programming, statistics, and applied math. You'll gain a common vocabulary to start collaborating with classmates on day one.
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