Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience. It's a myth that to become a data scientist you need a Ph.D. Anyone with a passion for learning can take this Professional Certificate – no prior knowledge of computer science or programming languages required – and develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry level data scientist. The program consists of 9 online courses that will provide you with the latest job-ready 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. Upon successfully completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science.

Hello everyone, we have updated this article recently, as the offer we shared here earlier has been updated and extended until the end of year 2021 while the supplies last. So, please take a note. Also, we hope you are staying safe from COVID19 and mastering new skills while staying at home. Here's a great news for our learners: The tech giant, IBM is offering Data Science and Artificial Intelligence Programs on Coursera for free for first 30 days until 31st of December 2021 (Updated). Consider looking at this exclusive offer here.

Making the case for AI, or any nascent technology for that matter, can be a struggle for companies today. While large enterprises know they need to be fast, agile and innovation-obsessed to survive disruption, their age-old policies, antiquated systems, disconnected data and entrenched corporate habits can be serious blockers to adoption. With a century plus-long tradition of engineering excellence, we at Siemens knew we had a challenge to transform ourselves in order to continue to lead in the AI era. Adopting a mindset of risk-taking and innovation from the inside-out had to be a key part of that transformation journey. Thanks to our recent efforts with the IBM Data Science and AI Elite team, together with the IBM Garage at the Watson IoT Center in Munich, we recently made a critical breakthrough on our journey to AI. Working with partners such as IBM and others, we developed a proof of concept to showcase how we could harness AI and blockchain to drastically reduce our employees carbon output--not through mandates, but through incentivizing more eco-friendly behavior.

What does a data-driven business look like? Is it endless lines of code and algorithms running on cloud infrastructure, sending signals back to a predictive analytics lab? Is it a huddle of Ph.D. data scientists poring over graphs that no one else can understand? Both experts and technologies have a place in it, but relying too much on either can blow the whole thing. A business that runs day-to-day on data needs a culture that meshes machine intelligence and human business sense.