Data Science Full Course in Python & ChatGPT: All in One
What you'll learn
- 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.
- Learn Python's syntax, data types, variables, and operators to construct simple programs and execute basic functions.
- 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.
- Learn to regulate program flow, use loops and conditional statements like if, elif, and else.
- Experience the integration of ChatGPT to rise your understanding of data science applications through interactive conversations and real-world problem-solving.
- Acquire skills to use Python lists, dictionaries, tuples, and sets.
- Learn how to communicate your findings effectively, translating complex data science results into clear and actionable insights for stakeholders.
- Learn NumPy and Pandas the key Python packages for data manipulation and computing.
- 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.
- No Coding Experience is Needed.
- Desire to Learn Data Science
Welcome to "Data Science Full Course in Python and ChatGPT". A Comprehensive Hands-On Course Covering the A-Z workflow of Data Science in Python. Start a life-changing trip into the ever-changing world of data science with our complete course for complete beginners. Participants in this hands-on program will learn about the A-Z data science workflow in great detail. They will gain both the theoretical information and practical skills they need to be successful in the field.
The first part of the course is an introduction to data science, explaining its central role, importance, and wide range of uses in different fields. Then, the participants will learn the ins and outs of data cleaning, including how to deal with outliers, missing numbers, and different types of data. Students will learn how to sort, filter, merge, and concatenate data using Python's powerful pandas tool.
Beyond just cleaning up the data, exploratory data analysis (EDA) is now a natural part of the program. The participants will learn more about variables, group-by processes, frequencies, percentages, pivot tables, crosstabulation, and variable relationships. This will help them get better at turning raw data into useful information. The focus on real-world applications continues with a deep dive into data preprocessing, which includes building features, choosing them, and scaling them so that machine learning models are ready to use.
The course covers a wide range of algorithms, from basic ones like linear regression to more complex ones like xgboost and lightgbm, and helps students become experts in supervised regression and classification models. Clustering models like KMeans and DBSCAN make unsupervised learning the main topic. These models let people find hidden patterns in data without having to mark training samples.
One unique thing about this course is that it uses ChatGPT to make the experience more immersive through real-life problem-solving situations and interactive conversations. Not only will participants learn the basics of Python programming, they will also learn how to communicate clearly, turning complicated data science results into clear, useful insights for stakeholders.
Assessment is built right into the course structure, and a series of layered quizzes help students understand how to do everything in the data science process. By the end of the course, participants will have improved their Python programming skills, learned how to use important libraries like pandas, numpy, and scikit-learn, and gained a complete idea of how data science works.
This class is more than just a way to learn; it's also a way to start a job. With a wide range of skills, participants will be ready to face challenges in the real world and confidently start a rewarding job in data science. Sign up now to get access to a world powered by data-driven insights.
Who this course is for:
- Beginners Data Scientists
- Anyone Curious About Data Science
- Python and Data Enthusiast
Welcome to AnalytixAI! I'm thrilled to be your instructor on this journey into the world of data analysis with artificial intelligence (AI). With a passion for both data science and AI, I bring years of experience and expertise to help you master the art of extracting valuable insights from data using cutting-edge technologies.
As a seasoned professional in the field, I have worked extensively with data analysis tools and AI algorithms, gaining hands-on experience in transforming raw data into actionable intelligence. My goal is to empower students like you with the knowledge and skills needed to thrive in today's data-driven world.
Join at AnalytixAI, where we'll explore the endless possibilities of data analysis fueled by the power of artificial intelligence. Let's unlock the potential of data together and embark on an exciting learning adventure. See you in class!