Goto

Collaborating Authors

Results


28 Best Online Data Science Courses (Beginners, Intermediate, Advanced, and FREE)

#artificialintelligence

So, these are the 5 best free data science courses in the "Best Online Data Science Courses List". Now, let's move to the other best data science course for specific skills-


25 Best Pluralsight Courses Online [Bestseller Courses 2022]

#artificialintelligence

In this course, you will how to leverage Azure's Machine Learning capabilities to greatly increase the chance of success for your data science project. First, you will engage in team workflow and how Microsoft's Team Data Science Process (TDSP) enables best practices across disciplines. Then, you will discover the workflow of the Azure Machine Learning Service and how it can be leveraged on your project. You will also review how to create a pipeline for your data preparation, model training, and model registration. At the end of this course, you will explore the infrastructure approaches that can be leveraged for machine learning and how those approaches are supported on Azure.


Python and Data Science from Scratch With RealLife Exercises

#artificialintelligence

Welcome to my "Python and Data Science from Scratch With Real Life Exercises" course. OAK Academy offers highly-rated data science courses that will help you learn how to visualize and respond to new data, as well as develop innovative new technologies. Whether you're interested in machine learning, data mining, or data analysis, Udemy has a course for you. Better data science practices are allowing corporations to cut unnecessary costs, automate computing, and analyze markets. Essentially, data science is the key to getting ahead in a competitive global climate. Python instructors on OAK Academy specialize in everything from software development to data analysis and are known for their effective, friendly instruction for students of all levels. Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability.


Complete Python Data Science, Deep Learning, R Programming

#artificialintelligence

Welcome to Complete Python Data Science, Deep Learning, R Programming course. Are you curious about Data Science and looking to start your self-learning journey into the world of data? Are you an experienced developer looking for a landing in Data Science! In both cases, you are at the right place! The two most popular programming tools for data science work are Python and R at the moment. It is hard to pick one out of those two amazingly flexible data analytics languages. Both are free and open-source. Gain in-demand skills and help organizations forecast product and service demands for the future.


15 Best Data Science Programs Online in 2022- [Free Programs Included]

#artificialintelligence

This is a completely free course and a good first step towards understanding the data analysis process. In this course, you will learn the entire data analysis process including posing a question, data wrangling, exploring the data, drawing conclusions, and communicating your findings. This course will also teach Python libraries NumPy, Pandas, and Matplotlib.


Top 40 COMPLETELY FREE Coursera Artificial Intelligence and Computer Science Courses

#artificialintelligence

Each of the four weeks in the course will consist of two required components. First, an interactive textbook provides Python programming challenges that arise from real biological problems. If you haven't programmed in Python before, not to worry! We provide "Just-in-Time" exercises from the Codecademy Python track (https://www.codecademy.com/learn/python). And each page in our interactive textbook has its own discussion forum, where you can interact with other learners.


Python for Data Science & Machine Learning from A-Z

#artificialintelligence

In this practical, hands-on course you'll learn how to program using Python for Data Science and Machine Learning. This includes data analysis, visualization, and how to make use of that data in a practical manner. Our main objective is to give you the education not just to understand the ins and outs of the Python programming language for Data Science and Machine Learning, but also to learn exactly how to become a professional Data Scientist with Python and land your first job. We'll go over some of the best and most important Python libraries for data science such as NumPy, Pandas, and Matplotlib NumPy -- A library that makes a variety of mathematical and statistical operations easier; it is also the basis for many features of the pandas library. Pandas -- A Python library created specifically to facilitate working with data, this is the bread and butter of a lot of Python data science work.


7 Top-Rated Data Science Courses on Coursera to Become a Data Science Professional

#artificialintelligence

The field of data science is growing with increasing demand. Data science is not limited to only consumer goods or tech or healthcare. There is a high demand to optimize business processes using data science from banking, transport to manufacturing. Organizations are now hiring data science professionals to deal with complex data. To become an expert in data science read the article and check out the list of top-rated data science courses on Coursera.


Data Science Bootcamp with 5 Data Science Projects

#artificialintelligence

Data Science Bootcamp with 5 Data Science Projects - Data Science and Machine Learning Masterclass with Python with 5 Data Science Real World Projects Created by Data Is Good Academy Preview this Course - GET COUPON CODE Data Science is an interdisciplinary field that uses scientific methods, algorithms to extract clean information from raw data for the formulation of actionable insights. The Data Science field is growing so rapidly, and revolutionizing so many industries. Data Science has incalculable benefits in business, research, and our everyday lives. Your route to work, your most recent Google search for the nearest coffee shop, your Instagram post about what you ate, and even the health data from your fitness tracker are all important to different data scientists in different ways. Sifting through massive lakes of data, looking for connections and patterns, data science is responsible for bringing us new products, delivering breakthrough insights, and making our lives more convenient.


PySpark for Data Science - Advanced ($89.99 to FREE)

#artificialintelligence

This module in the PySpark tutorials section will help you learn about certain advanced concepts of PySpark. In the first section of these advanced tutorials, we will be performing a Recency Frequency Monetary segmentation (RFM). RFM analysis is typically used to identify outstanding customer groups further we shall also look at K-means clustering. Next up in these PySpark tutorials is learning Text Mining and using Monte Carlo Simulation from scratch. Pyspark is a big data solution that is applicable for real-time streaming using Python programming language and provides a better and efficient way to do all kinds of calculations and computations.