IBM

Skills of the Future – Learn Data Science, Big Data, Artificial Intelligence & More

Upskill yourself today - Learn from the industry experts, earn badges & flaunt them to the prospective employers. The learning paths & courses available are from the latest and in trend technologies. Start your journey in the field of Big Data, Data Science, Artificial Intelligence and Blockchain.

Learning Paths

  • Big Data Learning Path

    Are you interested in understanding 'Big Data' beyond the terms used in headlines? Then select this learning path as an introduction to tools like Apache Hadoop and Apache Spark Frameworks, which enable data to be analyzed on mass, and start the journey towards your headline discovery.

    • 06

      Learning Paths

    • 3-4 courses

      Per Learning Path

    • 13-16 hrs.

      Per Learning Path

    • View More +
    • About the Learning Path

      Are you interested in understanding 'Big Data' beyond the terms used in headlines? Then select this learning path as an introduction to tools like Apache Hadoop and Apache Spark Frameworks, which enable data to be analyzed on mass, and start the journey towards your headline discovery.

      • 3

        Courses

      • 3-5 hrs.

        per course

      • Audience

        Big Data Enthusiasts, Data Engineers, Data Scientists

    • About the Learning Path

      Learn how to manage Big Data and get insight from it with IBM’s Big Data tools. You will learn how to store, manage and access data using technologies such as Hadoop and Spark as implemented by the IBM BigInsights product.

      • 2

        Courses

      • 3-5 hrs.

        per course

      • Audience

        Big Data Enthusiasts, Data Engineers, Data Scientists, Programmers

    • About the Learning Path

      Solid understanding and experience, with core tools, in any field promotes excellence and innovation. Apache Spark, as a general engine for large scale data processing, is such a tool within the big data realm. This learning path addresses the fundamentals of this program's design and its application in the everyday.

      • 4

        Courses

      • 4-5 hrs.

        per course

      • Audience

        Data Engineers, Data Scientists

    • About the Learning Path

      Learn how to analyze data with IBM’s cognitive tools! Today, cognitive data analytics is a must-have feature for most applications that we use every day, such as predicting weather, recommender systems in shopping apps, and fraud detection in credit card tools. If you are interested in learning how data analytics actually works and how it augments human ability, then this learning path is for you.

      • 4

        Courses

      • 6-8 hrs.

        per course

      • Audience

        Data Engineers, Data Scientists

    • About the Learning Path

      Are you interested in moving beyond the elephant in the room and understanding Hadoop as a foundational tool set in your future? Then select this learning path to gain exposure to the tools used in Big Data, Hadoop's core components and supporting open source projects.

      • 2

        Courses

      • 4-6 hrs.

        per course

      • Audience

        Data Engineers, Data Scientists, Big Data enthusiasts with technical background

    • About the Learning Path

      Ever wonder how to program a pig and an elephant to work together? Start with dedication, a couple of tricks up your sleeve, and instructions that the beasts understand. This learning path is dedicated to address these programming requirements by filtering and sorting what you need to know and how you need to convey your message.

      • 2

        Courses

      • 3-5 hrs.

        per course

      • Audience

        Data Engineers & Data Programmers

  • Data Science Learning Paths

    When a butterfly flaps its wings what happens? Does it fly away and move on to another flower or is there a spike in the rotation of wind turbines in the British Isles. Learn data science today and enter a world where we work to create order out of chaos that will blow you away!

    • 4

      Learning Paths

    • 3-4 courses

      Per Learning Path

    • 13-16 hrs.

      Per Learning Path

    • View More +
    • About the Learning Path

      When a butterfly flaps its wings what happens? Does it fly away and move on to another flower or is there a spike in the rotation of wind turbines in the British Isles. Learn data science today and enter a world where we work to create order out of chaos that will blow you away!

      • 3

        Courses

      • 3-5 hrs.

        per course

      • Audience

        Aspiring Data Scientists

    • About the Learning Path

      If a trend is identified using big data, how can it be applied to solving complex day-to-day problems? Are there implications of using this data? This learning path addresses the principles of data science to explore data privacy, regression analysis, text analytics, data visualization and predictive modeling to promote topical awareness.

      • 3

        Courses

      • 5-7 hrs.

        per course

      • Audience

        Business Professionals

    • About the Learning Path

      Learn how to code in Python for data science, then analyze and visualize data with Python with packages like scikit-learn, matplotlib and bokeh. This is an action-packed learning path for data science enthusiasts and aspiring data scientists who want to learn data science hands-on with Python.

      • 3

        Courses

      • 8-10 hrs.

        per course

      • Audience

        Beginners in Data Science, Python Enthusiasts

    • About the Learning Path

      Through our guided lectures and labs, you'll get hands-on experience tackling interesting data problems. This is an action-packed learning path for data science enthusiasts who want to learn about data analysis, accessing databases with R, and visualization.

      • 2

        Courses

      • 5-7 hrs.

        per course

      • Audience

        Beginners in Data Science

  • Artificial Intelligence Learning Paths

    Through our guided lectures and labs, you'll first learn Neural Networks, and an overview of Deep Learning, then get hands-on experience using TensorFlow library to apply deep learning on different data types to solve real world problems.

    • 1

      Learning Paths

    • 3 courses

      Per Learning Path

    • 9-12 hrs.

      Per Learning Path

    • View More +
    • About the Learning Path

      Through our guided lectures and labs, you'll first learn Neural Networks, and an overview of Deep Learning, then get hands-on experience using TensorFlow library to apply deep learning on different data types to solve real world problems

      • 2

        Courses

      • ssss 7-10 hrs.

        per course

      • Audience

        Anyone interesting in analysis of data