Free IBM Data Sciences Courses on Coursera

In the rapidly evolving fields of Data Science and Artificial Intelligence, staying ahead means continually learning and adapting. In this blog, there is a list of around 20 free data science-related courses from IBM available on coursera.org that can help data science enthusiasts master different domains in AI / Data Science / Machine Learning. This list includes courses related to the core technical skills and knowledge needed to excel in these innovative fields.

Foundational Knowledge: Understanding the essence of Data Science lays the groundwork for a successful career in this field. A solid foundation helps you grasp complex concepts easily and contributes to better decision-making, problem-solving, and the capacity to adapt to new roles in a fast-evolving industry.

• What is Data Science
• Data Science Methodology
• Intro to DS Specialization

Programming and Tools: Proficiency in programming and tools is imperative for efficiency and innovation in data-related jobs. Being skilled in Python and familiar with essential tools and databases enhances your ability to manipulate and analyze data, making you a valuable asset in tech-driven workplaces.

• Python for DS and AI Dev
• Tools for Data Science
• Databases & SQL for DS
• Excel for Data Analysis

Data Analysis and Visualization: Data Analysis and Visualization are critical for turning raw data into actionable insights. Mastering these skills allows professionals to influence strategic decisions, illustrate trends, and communicate findings clearly, which are key competencies in driving business growth and competitiveness.

• Data Viz with Python
• Data Analysis with Python
• Intro to Data Analytics

Machine Learning and AI Development: Expertise in Machine Learning and AI is a gateway to the forefront of technological innovation. As industries increasingly rely on predictive analytics and intelligent automation, professionals skilled in these areas are indispensable. They lead the creation of smarter systems and processes, powering advancements across every sector from healthcare to finance.

• EDA for Machine Learning
• IBM AI Engineering

Advanced Data Science and Career Progression:

Pursuing advanced Data Science and focusing on career progression equips professionals with the ability to tackle complex analytical problems and lead large-scale projects. This expertise is crucial for those aiming at senior roles, as it demonstrates a deep understanding of the field and the capacity to drive strategic, data-driven decision-making within organizations.

• Data Science Pro Certificate
• Projects for Data Science
• Scalable Data Science
• Data Analyst Pro

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Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking. Check out my other blog, Revive-n-Thrive.com

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