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This course is designed to show you how to work with one of Python's fundamental packages - NumPy. You will learn what a "package" is and see how to install, upgrade and import it. By the time you finish the course, you'll be comfortable with NumPy' ndarray class, how to slice and reduce the dimensions of its instances, as well as how to quickly refer to the documentation. Furthermore, you'll be ready to take advantage of NumPy's various built-in functions and methods, which we'll use to generate random and non-random data, import and export data to and from Python, find statistical values for a dataset, and clean and preprocess ndarrays. Looking for a NumPy course? Try the Data Preprocessing with NumPy Course for free. Learn the applications of the ndarray and upgrade your Python skills.

Data science is based on statistics and statistics steps on the foundations laid by probability. This course will help you master probability theory necessary to think like a data scientist. You will learn about expected values, combinatorics, Bayesian notation, and probability distributions. Looking for a Probability course? Try the Introduction to Probability Course for free. Learn the fundamentals of probability theory and computing formulas.

Tableau is now one of the most popular business intelligence tools in the world. It allows non-technical users to visualize data and work with it immediately. This course shows how you can use Tableau to create state-of-the-art visualizations and powerful dashboards, which is precisely what corporate executives need when making decisions. Do you want to learn Tableau? Try the 365 Data Science training. Learn new skills and boost your career with a Tableau certification. Start now!

Data Science mainly relies on working with two types of data - cross-sectional and time series. This course will help you master the latter by introducing you to ARMA, Seasonal, Integrated, MAX, and Volatility models as well as show you how to forecast them into the future. Looking for a course on Time Series Analysis in Python? Learn more about ARMA, Seasonal, Integrated, MAX, and Volatility models and their forecasting. Try now!

This course will teach you in-demand Excel techniques that will allow you to do more sophisticated data manipulation in Excel. You will learn how to build nested functions, how to use new keyboard shortcuts to be even faster in Excel, and how to format sheets and charts professionally. 365 Data Science will also show you several hidden Excel tips and tricks that you usually don't find in textbooks. Do you want to become an expert in Excel? Try Advanced Excel Training. Learn advanced Excel formulas and become a pro. Try for free!

Web Scraping and API Fundamentals in Python offers an introduction to the techniques of data extraction from the web. In this course, you will learn how to use one of the most powerful tools on the Internet - APIs. We will also discuss in depth how to obtain information directly from websites using the BeautifulSoup Python package. There will be a short HTML crash course for those not familiar with it. Finally, we will introduce the Requests-HTML package to extract dynamically generated JavaScript content. Do you want to learn Web Scraping and API Fundamentals in Python? Sign up for the 365 Data Science Program and learn the skills needed to become a Web Scraping pro. Start now!

Machine Learning in Python builds upon the statistical knowledge you have gained earlier in the program. This course focuses on predictive modeling and enters multidimensional spaces that require an understanding of mathematical methods, transformations, and distributions. The course introduces these concepts as well as complex means of analysis such as clustering, factoring, Bayesian inference, and decision theory while also allowing you to exercise your Python programming skills. Looking for a Machine Learning in Python course? 365 Data Science will prep you for predictive modeling, transformations, and distributions. Try it for free!

Credit risk modeling is the place where data science and fintech meet. It is one of the most important activities conducted in a bank and the one with the most attention since the recession. This course is the only comprehensive credit risk modeling course in Python available right now. It shows the complete credit risk modeling picture, from preprocessing, through the probability of default (PD), loss given default (LGD) and exposure at default (EAD) modeling, and finally finishing off with calculating expected loss (EL). Looking for a Credit Risk Modeling in Python course? Find the only comprehensive credit risk modeling course in Python available right now. Try it for free!

Get acquainted with a data science topic of your choice. These explainer videos give you a peek into any topic in less than 2 minutes.

Get acquainted with a data science topic of your choice. These explainer videos give you a peek into any topic in less than 2 minutes.

Get acquainted with a data science topic of your choice. These explainer videos give you a peek into any topic in less than 2 minutes.

Get acquainted with a data science topic of your choice. These explainer videos give you a peek into any topic in less than 2 minutes.

Get acquainted with a data science topic of your choice. These explainer videos give you a peek into any topic in less than 2 minutes.

Get acquainted with a data science topic of your choice. These explainer videos give you a peek into any topic in less than 2 minutes.

Get acquainted with a data science topic of your choice. These explainer videos give you a peek into any topic in less than 2 minutes.

Statistics is the driving force in any quantitative career. It is the fundamental skill data scientists need to be able to understand and design statistical tests and analyses performed by modern software packages and programming languages. In this course, we start from the very basics of statistics and gradually build up your statistical thinking, enabling you to understand the more complex analyses carried out later in the program. Looking for a Statistics course? Learn the fundamental skills data scientists need to have with our Online Statistics Course. Start today!

Microsoft Excel is the #1 productivity software in the world. A huge amount of data comes in a spreadsheet format, so an analyst needs Excel in their arsenal. This course will teach you all the Excel skills you need to perform multi-layered calculations, create charts, manipulate data, lookup functions, and more! Do you need to learn Excel? Find the Introduction to Microsoft Excel course. Learn applicable skills needed in the workplace. Try for free!

Python for Finance is the crossing point where programming in Python blends with financial theory. Together, they give you the know-how to apply that theory into practice and real-life scenarios. In a world where individuals and companies are aiming to become more and more autonomous, your ability to combine programming skills with financial data will allow you to create independent analyses. And that competency will give you an edge over your competitors or in your personal investments. To prepare you for these multi-faceted challenges, this course provides the relevant topics in financial theory and their hands-on application in Python. Do you want to learn Python for Finance? Learn how to combine programming skills with financial data to create outstanding independent analyses. Start now!

Business Analytics offers a unique perspective on how world-class organizations use data-driven decision making as a tool for success. Throughout the course, you will develop the practical skills you need to manage a successful analytics project. The step-by-step modules take you all the way from stakeholder and process mapping, through end-to-end processes and benchmarking, to hands-on analytical techniques, including historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis. Once you finish the course, you will have a solid foundation and a good idea of how these techniques can be applied in practice. This will allow you to thrive in any corporate environment. Do you want to learn Business Analytics? This training will give you the practical skills you need to manage a successful analytics project. Try it for free!

This is the Python course that will not only develop your programming skills but will also give you a problem-solving superpower using Python code! In this course, you will develop a thorough understanding of Python, how to program in Python, and how to think computationally. You will learn how to implement object-oriented programming (OOP), how to create Python charts in Matplotlib, and how to work with different IDEs like Spyder and Jupyter. While you're learning, you'll get to practice your skills with fun and challenging exercises like solving the Sierpinski Triangle and the Towers of Hanoi. Finally, your instructor, Giles McMullen-Klein, is a British programmer who went to Oxford University and used Python for his research there. He's motivating, enthusiastic, and truly passionate about Python! Hone your skills with the Python Bootcamp course. Develop a thorough understanding of how to program with Python, and how to think computationally. Try it for free!