English | MP4 | AVC 1920×1080 | AAC 44KHz 2ch | 7 Hours | 1.09 GB
eLearning | Skill level: All Levels
Learn to visualize your data using Python in this data science course
Data is becoming a force to reckon with. With the amount of data that is being generated every minute, dealing with data has become more important. The importance of data lies in the fact that it allows us to look at our history and predict the future. Data science is the field that deals with collecting, sorting, organizing and also analyzing huge amounts of data. This data is then used to understand the current and future trends. This field borrows techniques and theories from across multiple fields such as mathematics, statistics, computer science, information science, etc. It also aids other domains such as machine learning, data mining, databases and visualization. Data scientists are gaining importance and are also earning higher salaries, which means this is the right time to become a data scientist. While, it might seem easy, sorting data, these scientists are responsible for writing important algorithms and programs to help sort and analyze the data – and this isn’t an easy task. The course will cover a number of different concepts such as an introduction to data science including concepts such as linear algebra, probability and statistics, Matplotlib, charts and graphs, data analysis, visualization of non uniform data, hypothesis and gradient descent, data clustering and so much more. That’s not all, we’ll also include projects to help you show exactly how to build visuals using Python. You can learn all this and tons of interesting stuff in this unique data science course. Enroll now and start building next generation interfaces for your data.
In this beginner course to data visualization, you’ll get started with important concepts of data science. The course will help you understand exactly where to begin in this lucrative field.
What You Will Learn
- Learn to create a graphical visualization for your data..
- Learn about data analysis and data clusteringMaster the mathematical foundation of data science.
- Learn advanced concepts such as gradient descent and data munging.