Introduction to data science
Introduction to GCP
Preparing the environment for the course
EDA to gain insight
Understanding the project’s scope
Deep dive into the dataset
Data quality check
Handling missing values
Removing outliers using IQR
Feature engineering for machine learning
Applying machine learning using scikit-learn
Evaluate and interpret the model
How can we make decisions from the model’s output
Understanding our data pipeline
Turning our notebook into a pipeline
Unit testing of all functions
Deployment of the data pipeline using Cloud Composer
Testing the data pipeline
Deploy the model
Getting the model’s output in Bigquery
Visualization of output using Looker Studio
Decision-making from visualization/dashboard
Our interactive process ensures you learn everything thoroughly. These are distinct way you'll learn each topic so that you can retain everything you learn.
You will be able to work on building an analytics tool using Azure. You will learn to integrate, transform and merge data from different sources and will build a data pipeline.
Brushing up your resume is always a great idea because first impressions are important. With some great strategies and valuable advice, your chances of performing well in interviews and getting hired will increase after the consultation. Mock Interviews will be conducted when you get an interview call.
Any referral for a job on the specific stream
Get mentored by experienced professionals from top tech companies. Having someone that you can look up to and go to for support is one the most important things for boosting your career. We have the best mentors for you from the best companies in the industry.
If you are struggling with any particular concepts, our mentors are here to clear your doubts so that your actual performance is not affected. You can ask about anything until you clear your confusion.
You will get real-world experience and knowledge from working on a live project. This engaging learning environment develops critical thinking skill
5 mentors will endorse
Look at our frequently asked questions if you have any doubts on your mind.FAQs