Find out how data science can be implemented with Python using the Data Science Jumpstart with 10 Projects Course. For people with a good understanding of Python and only a little experience in Data Science, this course places you right in the middle of the instruments and methods that Data Scientists use. Starting with understanding how data is loaded and cleaned through basic statistical analysis and into the realm of machine learning, all of the modules provide the tools that can be applied directly to solve a problem.
Learn how to derive the hidden patterns in datasets from introductory interactive projects such as the Retail Data Insights and Health Data Deep Dives and skills in handling missing data, outliers, and fundamental machine learning concepts. Learn how to extend your data visualization with Plotly and engage with applications to boost your SQL skills. During the Data Science Jumpstart with 10 Projects Course, libraries like Pandas, Matplotlib, and Plotly will be used in manipulating, visualizing and analyzing data in a proper manner.
Data Science Jumpstart with 10 Projects Course Table of Contents:
- Understand the data loading, cleaning, summarization process, and simple statistical analysis using both CSV and Excel files.
- Master and hone the competencies of joining and reformatting data sets to determine hidden patterns, tangibly illustrated by the Retail Data Insights project.
- Discover how to deal with missing values and outliers, and discover the first machine learning algorithms using the Health Data Deep Dives.
- Design predictive models to predict AQ Trends and Movie Reviews to promote understanding of data and its interpretation.
- Learn how to build engaging interactive dashboards with Plotly and develop your SQL Database knowledge to understand the data and its querying mechanism.
- Pandali libraries such as RandomForestClassifier, Train Test Split, Matplotlib, Plotly, and similar libraries can be used for data manipulation, visualization, and analysis purposes, respectively.
Who is this course for?
- Python data science novices who are seeking an opportunity to study
- Those at an average level of understanding and would like to consolidate their knowledge as well as increase their know-how in libraries
- Pupils who want to develop hands-on abilities in data analysis
- Career changers who would like to become data scientists
Click on the links below to Download Data Science Jumpstart with 10 Projects Course!
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