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This course offers a deep dive into an advanced neural network construction - Convolutional Neural Networks. First, we explain the concept of image kernels, and how it relates to CNNs. Then, you will get familiar with the CNN itself, its building blocks, and what makes this kind of network necessary for Computer Vision. You'll apply the theoretical bit to the MNIST example using TensorFlow, and understand how to track and visualize useful metrics using TensorBoard in a dedicated practical section. Later in the course, you'll be introduced to a handful of techniques to improve the performance of neural networks, and a huge real-world practical project for classifying fashion items pictures. Finally, we will cap it all off with an intriguing look through the history of the most influential CNN architectures. Looking for a convolutional neural networks course? Try the Convolutional Neural Networks in Python Course for free. Start now!

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!

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!

Build your career in data science! 365 Data Science online training will help you land your dream job. Learn data science and get the skills you need. Try for free!

Choose the right Pricing Plan for you and join the 365 Data Science Online Program! 30 courses. 880+ exercises. Start learning data science today!

Browse various data science courses and follow a structured training program for beginner data scientists to start their dream careers. Try 365 Data Science for free!

This course will introduce you to the field of data science, help you understand the various processes, and distinguish between terms such as: 'traditional data,' 'big data,' 'business intelligence,' 'business analytics,' 'data analytics,' 'data science,' and 'machine learning.' Do you want to be a data scientist? Take the first step towards your career with 365 Data Science Course - Introduction to Data Science. Try it for free!

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!

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!

Customer Analytics in Python is where marketing and data science meet. Data science and marketing are two of the key driving forces that help companies create value and stay on top in today's fast-paced economy. This course is packed with knowledge and includes sections on customer and purchase analytics, as well as a deep-learning model, all implemented in Python.

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!

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 course is designed to teach you the specialized skills needed to manage the development of successful A.I. products. You'll learn how to identify opportunities for a business to leverage AI and how to prepare the data needed. You will grasp the organizational structure of A.I. and data science teams, how to communicate effectively with stakeholders, and the best methods for managing a team's workflow. After the course, you'll be able to take an idea, evaluate it with potential customers, prototype, strategize, build tests and iterate on AI and data-driven products. Learn everything you need to become a successful Product Manager in AI and data science. Try the course 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.