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The Power BI Course is designed for students who like to learn by doing. Packed with real-life business scenarios along with quizzes and projects to build, this course will give you the solid understanding required to jump-start your career as a Power BI developer, business intelligence analyst, or multiskilled data scientist. It will not only teach you how to create stunning dashboards but will also introduce you to data modeling and data transformations. You will learn how to write DAX, set up calculated columns and measures, generate roles, and, of course, share your dashboards with your team or clients. Power BI allows you to connect to hundreds of data sources and quickly analyze your data for free. Looking for a Power BI course? This training will give you the solid understanding required to jumpstart your career as a Power BI developer. Try it for free!

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.

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 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.

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!

SQL is one of the fundamental programming languages you need to learn to work with databases. When you are a data scientist in a company and you need data to perform your analysis, you usually have two options: extract it on your own or contact the IT team. Of course, the ability to extract your own data is an extremely valuable skill to have. In this course, we will teach you everything you need to know in terms of database management and creating SQL queries. Do you want to learn SQL? Try the SQL course from 365 Data Science. Learn new skills from our great lecturers and receive a SQL certification. 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!

pandas are one of today's most successful data analysis libraries out there. A favorite to many, its versatile functionalities can be leveraged for manipulation of many types of data - numeric, text, Boolean, and more. That's one of the features that make pandas the go-to choice for analysts, especially during the data cleaning and preprocessing stages. Technically, pandas have been built on NumPy because the former need the computational power and abilities of the latter. But what makes pandas truly great is their ability to operate with the data in an easy-to-use way, allowing you to focus almost entirely on your analytic task. And in this course, you will learn how to work with this powerful Python library and its core data structures - the pandas Series and DataFrames. Looking for a pandas course? Try the Data Cleaning and Preprocessing with pandas Course for free. 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!

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!

Choose the right Pricing Plan for you and join the 365 Data Science Online Program! 30 courses. 880+ exercises. Start learning data science today! Full Data Science Course Learn Data Science at Your Own Pace
100 hrs Video, 21 Topics & Projects
www.365datascience.com/courses

This course provides you with invaluable insights directly from a top-level data scientist with the first-hand experience in recruiting data scientists for his team. You will learn everything you need to get a competitive edge over other job candidates and start a career in data science: how to create your data science project portfolio, build your resume, get an interview through networking, succeed during the phone interview, solve the take-home test, and ace the behavioral and technical questions. The course also offers you resume templates, downloadable materials, helpful infographics, as well as a section on how to optimize your LinkedIn, Github, and Kaggle profiles for recruitment purposes. Learn everything you need to get a competitive edge over other job candidates and start a career in data science. Try the course for free!

The Data Visualization course is designed for everyone looking to deepen their understanding of creating meaningful and compelling visualizations. Whether you're coming from a business or data science-related field, knowledge in data visualization is both important and advantageous. That's precisely why this course is centered not in just one, but four different environments: Excel, Tableau, Python, and R. Each section is dedicated to a specific type of chart - bar charts, pie charts, area charts, line charts, and many more. Besides, some lectures specifically explore what to avoid when creating a certain graphic. You can stick with your preferred environment and follow each section. Or you could master all four environments and add indispensable skills to your data visualization toolset. Looking for a Data Visualization course? Learn how to create compelling charts and graphs with Excel, Tableau, Python, and R. Try it for free!

Help students track their progress through your WordPress course. WPComplete is a WordPress plugin that helps your students become more successful with online courses more by helping them track their progress through them. It works with most course and membership plugins, requires zero programming, and can be connected to your mailing list software (think: automatically email students when they finish a lesson or entire course).

It is next to impossible to analyze data in SQL. This course will give you methods of using SQL and Tableau simultaneously, helping you find hidden value in your data faster than when using them separately. Try 365 Data Science course in Tableau + SQL. Learn how to integrate SQL and Tableau and how to find insights in your data faster. Try it for free!

Python is one of the most widely-used programming languages among data scientists. This course will show you the technical advantages it has over other programming languages. You will start working with its modules for scientific computing, and you will begin to understand why these functionalities make Python the preferred choice in finance, econometrics, economics, data science, and machine learning. Do you want to learn Python? Try 365 Data Science course Python for Beginners. Learn the basic skills needed to be a Python developer. Try it for free!

In this course, you will learn the basics of version control for data science with Git. Git is a free and open-source distributed version control system designed to handle projects of different size, speed, and efficiency. Git has a tiny footprint with lightning-fast performance. Not only that but also, it's great for anyone who wants to be working on code, making extra changes, and still be able to go back to an earlier version. Do you want to learn the basics of version control for data science with Git and GitHub? Learn how to handle projects with ease. Try the course for free!

R is one of the best programming languages specifically designed for statistics and graphics. Programming in R is a fast and effective way to perform advanced data analyses and manipulations. In this course, you will learn how to use R and utilize the many data analysis techniques, methods, and functions it has to offer to the professional data scientist. Plan to start programming with R? Learn how to manipulate, analyze and visualize data in the Introduction to R course. Try it for free!

Machine and deep learning are some of those quantitative analysis skills that differentiate the data scientist from the other members of the team. The field of machine learning is the driving force of artificial intelligence. This course will teach you how to leverage deep learning and neural networks from this powerful tool for data science. The technology we employ is TensorFlow 2.0, which is a state-of-the-art deep learning framework. Expand your knowledge about machine learning with the Deep Learning with TensorFlow 2.0 course from 365 Data Science. Try it for free!