Tag: data science

  • Career Transition to Tech and Supporting Women in Tech: TDI 37

    Career Transition to Tech and Supporting Women in Tech: TDI 37

    “Being able to understand both the technical and business sides of a program is my sweet spot, and I really love working with people across the organization to push initiatives forward.” – via Chelsea (@techchatchelsea) on Threads Welcome @techchatchelsea, what is the most significant career moment you have experienced? Thanks so much for having me,…

  • Data Science on Azure

    Data Science on Azure

    We will dive into Microsoft Azure for data science and building a career in data There will be a lot to discuss with these two authors. Here is a list of some of the questions to be covered: Why write this book? Walk us thru the book and how it can help someone. How would…

  • Starting a Data Career

    Starting a Data Career

    Get a copy of Getting Started with Data See more interviews at The Example Show

  • Nhung Ho – Data Science in a Cloud World

    Nhung Ho – Data Science in a Cloud World

    This is a great talk for data scientists and managers of technology teams. If you do data science in 2020 or beyond, there is a good chance the cloud will be involved. Topics covered: Lessons learned when migrating data science (or technology in general) to the cloud AI services available via different cloud providers Workflows…

  • Brandon Rohrer – How Deep Neural Networks Work

    Brandon Rohrer – How Deep Neural Networks Work

    Brandon Rohrer is an expert in neural networks and deep learning. Plus, he makes really excellent videos about the topic. His entire YouTube Channel is worth viewing. See other top data science videos on the Data Science 101 video page.

  • Elements of Data Science – A free Jupyter Notebook Textbook

    Elements of Data Science – A free Jupyter Notebook Textbook

    Elements of Data Science by Allen Downey is a freely available textbook. It consists of Jupyter Notebooks on Google Colab, so you can view and edit code if you want. This could be a great way to begin your data science and programming journey.

  • Emily Glassberg Sands – How Data Science Can Unlock Teaching & Learning at Scale

    Emily Glassberg Sands – How Data Science Can Unlock Teaching & Learning at Scale

    Emily Glassberg Sands is the Head of Data Science at Coursera. This is a nice talk about how Coursera uses data science to improve the scale of teaching and learning. This talk was delivered at Women in Data Science 2020.

  • The tech and people of AI

    The tech and people of AI

    The tech and people of AI are presented nicely in this infographic. There is tons of information in here, so take your time. Plus, leave a comment with any details you find surprising or interesting. You can also find more infographics at Visualistan Also, Data Science 101 has posted many other data-specific infographics.

  • Cloud Data Science 9

    Cloud Data Science 9

    Lots of announcements this week, so without delay, let’s get right to Cloud Data Science 9. News Google Announces Cloud SQL for Microsoft SQL ServerGoogle’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL Google Opens a new Cloud RegionLocated in Salt Lake City, Utah, it is named us-west3. They are promoting…

  • Women in Data Science 2020 Livestream

    Women in Data Science 2020 Livestream

    Data Science 101 is honored to present the Global Women in Data Science 2020 livestream. This is the fifth annual global conference which features “outstanding women doing outstanding data science work in academia, industry, government, and non-profits.” The livestream is free and it begins March 2, 2020 at 9am PST. The livestream will be available…

  • Data Science Success – 3 Tips to Consider

    Data Science Success – 3 Tips to Consider

    Here are 3 tips to make sure your data science project does not become a failure.

  • Methods of Study Design – Experiments

    Methods of Study Design – Experiments

    We all are familiar with experiments, we read about them in books or newspapers. Researchers/ scientists perform experiments to validate their hypothesis/ statements or to test a new product. Unlike observational studies, experiments are performed in a controlled environment so that the effect of other external factors/variables can be eliminated from it. Let us understand…