There are many Data Science courses and certificates that promise to make you job ready. So, how to choose? What really gets you ready to take on a job as a data scientist? In this article, we position IBM’s Data Science programs available on Coursera so you can decide where to focus your energy and attention—depending on where you are in your Data Science learning journey.

Whether you are just beginning your journey and want to apply to entry level data science/data analytics positions or you are re-skilling and hopping on the data science wave from neighboring and related fields, s a good place to start. The program consists of 9 online courses that will provide you with the basic tools and skills, including: open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.

If you want to develop the necessary skills to become a proficient data scientist, the next step is the Here, you will learn the main types of Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning. You will also learn complimentary topics, including Time Series Analysis and Survival Analysis. In addition to earning a Professional Certificate from Coursera, you will receive a digital badge from IBM recognizing your proficiency in Machine Learning.

If you are an experienced data scientist looking for ways to become more effective, we suggest you take . This course will take through the creation of an end-to-end automated pipeline built by Watson Studio’s AutoAI experiment tool. Options in AutoAI make it possible to explore better questions either by speeding up the AI process or by offering points of human engagement. 

Lastly, the is a six course specialization designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions explicitly connecting business priorities to technical implementations, taking AI into production and connecting machine learning to specialized AI use cases, such as visual recognition and NLP.

All these programs leverage real world use cases and take a hands-on approach to ensure you are comfortable and proficient in the topics, and are familiar with the practice of data science in large, modern enterprises.

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We’d like to find out where companies and data scientists are with AI Explainability and AI Bias projects. Weigh in about the tools you are using, work you are doing, company priorities in this . We’ll share the results with you. If you want to learn more about AI Bias, .”

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