Welcome to Tech Bridge-City
Kickstart your career in data science & ML. Build data science skills, learn Python & SQL, analyze & visualize data, build machine learning models. No degree or prior experience required.
Welcome to Tech Bridge-City
Kickstart your career in data science & ML. Build data science skills, learn Python & SQL, analyze & visualize data, build machine learning models. No degree or prior experience required.Enroll Now
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Learn what data science is, the various activities of a data scientist’s job, and methodology to think and work like a data scientist.
Develop hands-on skills using the tools, languages, and libraries used by professional data scientists
Navigate the entire data science pipeline from data acquisition to publication.
Apply various data science skills, techniques, and tools to complete a project and publish a report
The art of uncovering the insights and trends in data has been around since ancient times. In this course, we will get an overview of what data science is today.
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with.
Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. You will work on a hands-on project where you will develop a simple dashboard using Python.
Learn about diverse version control systems as well as how to utilize some of the most commonly used Linux commands. You will also learn how to contribute to open source as a front-end developer.
Learn about relational database concepts and how to apply foundational knowledge of the SQL language. You will also learn about SQL access in a data science environment.
Learn how to analyze data using Python. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!
The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.
Create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and academic partners.
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The knowledge that was imparted to us was so much. That I got a lot of value for my time is wonderful.Uzoigwe Joy Virtual Assitant