This course provides comprehensive training in extracting insights and knowledge from data using a combination of statistical analysis, machine learning techniques, and domain expertise.
You will begin by learning foundational concepts such as data manipulation, data visualization, and exploratory data analysis using programming languages like Python or R.
The course covers advanced topics including predictive modeling, classification, clustering, and natural language processing, equipping participants with the skills to solve complex data-driven problems.
Practical exercises and projects are integral to the curriculum, allowing you to apply learned techniques to real-world datasets, derive actionable insights, and communicate findings effectively through data visualization and storytelling.
By the end of the course, you will gain proficiency in handling and analyzing large datasets, building and evaluating machine learning models, and deploying data-driven solutions across various industries, making them valuable assets in the field of data science.
Course Features
- Lecture 0
- Quiz 0
- Duration 4 weeks
- Skill level All levels
- Language English
- Students 21
- Certificate No
- Assessments Self
