Master the Data Science Universe: A Comprehensive Hands-On Course Covering the A-Z of Data Science Workflow in Python
Sub Category
- Data Science
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Objectives
- Gain a profound understanding of the core concepts and principles of data science, including its role, importance, and applications in various industries.
- Acquire the skills to clean raw data effectively, covering techniques for handling missing values, addressing different data types, and managing outliers etc.
- Master data manipulation by learning essential techniques such as sorting, filtering, merging, concatenating, and others using Python's pandas library.
- Learn exploratory data analysis techniques include frequencies, percentages, group-by operations, pivot tables, crosstabulation, and variable relationships.
- Dive into the world of data preprocessing with hands-on experience in feature engineering, selection, and scaling to prepare datasets for ML models.
- Apply your knowledge through a series of practical projects, reinforcing your understanding of each step in the data science workflow.
- Develop expertise in building and evaluating supervised regression models, including linear regression, random forest, decision tree, xgboost, and more.
- Gain practical skills in deploying supervised classification models, covering algorithms such as logistic regression, random forest, KNN, and lightgbm.
- Explore the world of unsupervised learning by understanding and implementing clustering models like KMeans and DBSCAN for uncovering hidden patterns in data.
- Become proficient in using essential Python libraries for data science, including pandas, numpy, seaborn, matplotlib, scikit-learn, and scipy.
- Test your knowledge and reinforce your learning through a series of seven-layered quizzes that cover various aspects of the data science workflow.
- Experience the integration of ChatGPT to rise your understanding of data science applications through interactive conversations and real-world problem-solving.
- Learn how to communicate your findings effectively, translating complex data science results into clear and actionable insights for stakeholders.
- Kickstart a career in data science, with a well-rounded understanding of the complete data science workflow and the ability to tackle real-world challenges.
Pre Requisites
- No Coding Experience is Needed.
- Desire to Learn Data Science
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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