# Python for Data Science Course Online (Self-Paced) Canonical URL: ## Overview This course is meant to go from the very basics of Python programming to the start of machine learning with Python. In this course, you’ll learn how and why Python is used for data science, how to create programs, work with data in Python, create data visualizations, and use statistics to create machine learning models. #### Python Fundamentals The course will start with the fundamentals of Python, including writing basic statements and expressions, creating variables, understanding different data types, working with lists, indexing and slicing lists, using functions and methods, and more. Concepts such as object-oriented programming are introduced. Once a learning environment has been set up, we will work with different data types such as strings, lists, dictionaries, and tuples. Each data type has its own particular purpose and knowing when to use each one will be essential. #### Structuring Programs The second part of the course covers conditional statements and control flow tools. This includes the if/else statements, boolean operations, and different types of loops. These topics create a large portion of the logic in your code and this course will help you master these concepts. Learn to work with dictionaries, create functions, write for loops to iterate through data, and work with packages in Python. #### Arrays & DataFrames The third part of the course introduces operations and tools for data science. We will learn how to import and clean data using NumPy and pandas. You’ll learn to work with Pandas DataFrames, wrangle data, and get descriptive statistics for your data. #### Analyzing & Visualizing Data You’ll learn to analyze and visualize data with key data science libraries including Pandas, NumPy, and Matplotlib. Learn to filter and clean data, group and pivot data, and start generating insights from your data with exploratory data analysis. Then create visualizations including bar charts, histograms, and advanced visualization for easy interpretation and sharing of your data insights. #### Next Steps After learning all the foundational Python programming and data analysis skills in this course, you will be ready to dive fully into machine learning. This program builds off this foundational knowledge to turn you into a full machine learning data scientist. Pick up right where the Python for Data Science Bootcamp left off with advanced statistics and create machine learning models with logistic regressions, k-nearest neighbors, and decision trees. ## What you'll learn - Foundational programming concepts, including loops, functions, and objects - Handle different types of data such as integers, floats, and strings - Control the flow of your programs with conditional statements - Reuse and simplify code with object-oriented programming - Analyze tabular data with NumPy and pandas - Create graphs and visualizations with Matplotlib - Make predictions with linear regression, using scikit-learn ## FAQ ### Who is the target audience for this course? Individuals looking to break into the field of data science with Python People with minimal coding background who want to move into more data-centric work at their current workplace People who work with data in tools like SPSS, STATA, or MATLAB and would like to transition into using Python and SQL. Developers with experience in other arenas, who would like to work in data science ### Is this course open to beginners? Yes, this course is open to beginners. Students must be comfortable using a computer. No other prior knowledge is required. ### Do you offer payment plans or student financing for this course? This course does not qualify for payment plans or student financing. See our Payment Plan FAQ to find related programs that qualify. ### What is the cancellation and refund policy for this single course? For this course, you are entitled to a 90% refund (your payment less the nonrefundable 10% registration fee) within 30 days of purchase if you have not accessed the course materials. ### What’s included with my tuition? A hands-on learning experience working on projects and exercises, which is proven to boost comprehension, retention, and engagement Expert instructors who are industry professionals and experienced educators that are driven to help you succeed Expert support with answers to your questions from real instructors throughout your learning journey Top-notch curricula that have been tried and tested over many years and are consistently improved for an optimal learning experience 30-day access to class recordings to review material at your own pace A certificate of completion to verify your accomplishment ### Are there any additional fees or expenses? There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us. However, you may need to obtain required software. We’ll help you get set up with a free trial of paid software prior to the class. Most of our coding classes utilize freely-available open-source software. For most of our design and motion graphics courses, we will help you get set up with a free trial of Adobe Creative Cloud. If you attend the course in-person, we will have a computer already set up for you with all of the required software for no additional cost. ### Do you offer any discounts for this course? Take this course as part of a certificate program and save: Data Analytics & AI Certificate Online (Self-Paced) Price: $6,995 | Hours: 210 Hours ## Pricing **Tuition:** $1495