# Top 5 best-selling data science courses to take into account

*To reduce your conundrum, we have prepared a comprehensive guide of how you may pick the best selling data science bookss available in the market.*

Welcome to 5 the Complete Data Science and Machine Learning Bootcamp, the only course you need to learn Python and get into data science.

# 1 > Data Science: Transformers for Natural Language Processing

Machine learning is able to generate text essentially indistinguishable from that created by humans We've reached new state-of-the-art performance in many NLP tasks, such as machine translation, question-answering, entailment, named entity recognition, and more We've created multi-modal (text and image) models that can generate amazing art using only a text prompt We've solved a longstanding problem in molecular biology known as "protein structure prediction" Instructors : Lazy Programmer Team

# 2 > The Data Science Course 2022: Complete Data Science Bootcamp

The course provides the entire toolbox you need to become a data scientist Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow Impress interviewers by showing an understanding of the data science field Learn how to pre-process data Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!) Start coding in Python and learn how to use it for statistical analysis Instructors : 365 Careers

# 3 > R Programming A-Z™: R For Data Science With Real Exercises!

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward. After every video, you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples. This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises. In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course! Instructors : Kirill Eremen

# 4 > Machine Learning, Data Science and Deep Learning with Python

Build artificial neural networks with Tensorflow and Keras Implement machine learning at massive scale with Apache Spark's MLLib Classify images, data, and sentiments using deep learning Make predictions using linear regression, polynomial regression, and multivariate regression Data Visualization with MatPlotLib and Seaborn Understand reinforcement learning - and how to build a Pac-Man bot Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA Use train/test and K-Fold cross validation to choose and tune your models Build a movie recommender system using item-based and user-based collaborative filtering Clean your input data to remove outliers Design and evaluate A/B tests using T-Tests and P-Values Instructors : Sundog Education by Frank Kane

# 5 > Complete 2022 Data Science & Machine Learning Bootcamp

You will learn how to program using Python through practical projects Use data science algorithms to analyse data in real life projects such as spam classification and image recognition Build a portfolio of data science projects to apply for jobs in the industry Understand how to use the latest tools in data science, including Tensorflow, Matplotlib, Numpy and many more Create your own neural networks and understand how to use them to perform deep learning Understand and apply data visualisation techniques to explore large datasets Instructors : Philipp Muellauer

Welcome to 5 the Complete Data Science and Machine Learning Bootcamp, the only course you need to learn Python and get into data science.