Data Dive Bootcamp

11:00 AM - 12:00 PM (UTC)

Embark on a journey through the realms of data science and machine learning in our first episode of the Bootcamp. In this episode you will get a chance to take a closer look at the cutting edge technologies along with mastering python essentials. From dissecting data ethics to navigating relational and noSQL databases, this comprehensive session equips you with the tools and knowledge to thrive in the dynamic world of data. Join us and unleash your potential in the data-driven era!

2:00 PM - 3:00 PM (UTC)

“Mastering Data Visualization and Refinement” is fundamental for data beginners that provide deep information on how to refine their data for valuable insights and visualize the outputs. The trainees deal with Panda and basic data cleaning fundamentals. Take a deep dive in Matplotlib by getting firsthand experience of visualization, which may range from discrete proportion to complex data correlation. Join us on the 2nd episode and get a chance to be empowered with the necessary skills for careful investigatory data analysis, leveraging visualization as a powerful tool for informed decision-making in real-world scenarios.

4:00 PM - 5:00 PM (UTC)

In “Navigating Data Science Life Cycle”, the participants will explore all these phases of the data science lifecycle; from data analysis to the final deployment of the model. Eventually, they can see the advantages offered by Azure Cloud and by no-code solutions which they can implement with Azure Machine Learning Studio. Learners leaving with their head full of knowledge are now ready to take on sustainable projects with much confidence. Wait no further and join us as we learn together.

5:30 PM - 6:30 PM (UTC)

“Building and Deployment”, in the final episode of our bootcamp participants will get a chance to take part in practical activities to formulate regression and classification models, sharpening their predictive analytics abilities. You will also be exposed to deploying models using Flask for web applications and venturing in custom vision AI for image recognition systems. At the episode's closing, attendees would have gained germane skills to build and implement machine learning models efficiently in real scenarios.