If you looking for the Best Datacamp Courses for beginners and Advanced to learn python, R, SQL, Data Analysis, Data Science, etc. If yes, then this Best DataCamp Courses to learn is for you. In this article, you will find the Best DataCamp courses to learn.
DataCamp is an excellent and popular online learning platform to build your skills and future in data science. DataCamp offers courses in data science, Python, SQL, R programming, big data, machine learning, deep learning, and applied finance.
In this round-up of the best DataCamp courses, we will look at the most important learning outcomes and structure of popular classes and skill tracks or learning paths. What is the best class for your career prospects and goals? Let’s find out.
Best DataCamp Courses Data Science, Python, R, SQL, ML
Course 1: Data Analyst with R
Gain the analytical skills you need to open the door to a new career as a data analyst. No coding experience is required. In this track, you’ll learn how to import, clean, manipulate, and visualize data in R—all integral skills for any aspiring data professional or researcher.
Through interactive exercises, you’ll get hands-on with some of the most popular R packages, including ggplot2 and tidyverse packages like dplyr and readr.
You’ll also develop your data manipulation and exploratory data analysis skills by working with a wide range of real-world datasets, including everything from Australian population figures to Netflix films. You’ll then gain the SQL skills you’ll need to query data from databases and join tables. Start this track, grow your R and SQL skills, and begin your journey to becoming a confident data analyst.
Duration: 77 hours | Total Courses: 19
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website to get an amazing offer of 60% for students and year-end Season Sales
Best Datacamp Courses 2: Data Scientist with R
Gain the career-building R skills you need to succeed as a data scientist. No prior coding experience required. In this track, you’ll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher.
Through interactive exercises, you’ll get hands-on with some of the most popular R packages, including ggplot2 and tidyverse packages like dplyr and readr.
You’ll then work with real-world datasets to learn the statistical and machine learning techniques you need to write your own functions and perform cluster analysis. Start this track, grow your R skills, and begin your journey to becoming a confident data scientist.
Duration: 88 hours | Total Courses: 22
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website, to get an amazing offer of 60% for students and Use June 2022 as a promo code
Course 3: Data analyst with Python:
Gain the career-building Python skills you need to succeed as a data analyst. No coding experience required. In this track, you’ll learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher.
Through interactive exercises, you’ll get hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more.
You’ll also gain experience of working with real-world datasets, including data from the Titanic and from Twitter’s streaming API, to grow your data manipulation and exploratory data analysis skills, before moving on to learn the SQL skills you’ll need to query data from databases and join tables.
Start this track, grow your Python and SQL skills, and begin your journey to becoming a confident data analyst.
Duration: 66 hours | Total Courses: 17
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website, to get an amazing offer of 60% for students and year-end Season Sales
Course 4: Data Scientist with Python:
Gain the career-building Python skills you need to succeed as a data scientist. No prior coding experience required.
In this track, you’ll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher.
Through interactive exercises, you’ll get hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more.
You’ll then work with real-world datasets to learn the statistical and machine learning techniques you need to train decision trees and use natural language processing (NLP).
Start this track, grow your Python skills, and begin your journey to becoming a confident data scientist.
Duration: 88 hours | Total Courses: 23 | Projects: 6
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website, to get an amazing offer of 60% for students and year-end Season Sales
Course 5: Python Programmer
Gain the career-building programming skills you need to successfully develop software, wrangle data, and perform advanced data analysis in Python.
No prior coding experience is required. In this track, you’ll learn how to manipulate data, write efficient Python code, and work with challenging data, including date and time data, text data, and web data using APIs.
As your skills grow, you’ll progress on to writing functions and unit testing—an essential skill needed to find bugs in your code before your users do!
Through interactive exercises, you’ll also gain experience of working with powerful Python libraries, including NumPy, pytest, and pycodestyle, that will help you perform key programmer tasks such as web development, data analysis, and task automation.
Start this track and embark on your journey to becoming a Python programmer.
Duration: 59 hours | Total Courses: 15
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website, to get an amazing offer of 60% for students and year-end Season Sales
Best DataCamp Courses 6: R Programmer
Gain the career-building programming skills you need to successfully develop software, wrangle data, and perform advanced data analysis in R. No prior coding experience is required.
In this track, you’ll learn how to manipulate data, write efficient R code, and work with challenging data, including date and time data, text data, and web data using APIs.
As you become more comfortable with these skills, you’ll move on to learn about writing functions and object-oriented programming—an essential skill when working with large and complex programs.
Through interactive exercises, you’ll also gain experience working with powerful R libraries, including devtools, testthat, and rvest, that will help you perform key programmer tasks, such as web development, data analysis, and task automation.
Start this track and embark on your journey to becoming an R programmer.
Duration: 44 hours | Total Courses: 11 | Projects: 3
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website, to get an amazing offer of 60% for students and year-end Season Sales
Course 7: Statistician with R
Master the essential skills to land a job as a statistician! Using statistics, you can help solve real-world problems in business, engineering, the sciences, and many other fields. In this track, you’ll learn how to use statistical methods to explore and model data, draw conclusions from a wide variety of datasets and interpret and report findings.
Duration: 108 hours | Total Courses: 27
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website, to get an amazing offer of 60% for students and year-end Season Sales
Course 8: Machine Learning Scientist with R
Master the essential skills to land a job as a machine learning scientist! You’ll augment your R programming skill set with the toolbox to perform supervised and unsupervised learning. You’ll learn how to process data for modeling, train your models, visualize your models and assess their performance, and tune their parameters for better performance. In the process, you’ll get an introduction to Bayesian statistics, natural language processing, and Spark.
Duration: 61 hours | Total Courses: 15
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website, to get an amazing offer of 60% for students and year-end Season Sales
Best DataCamp Courses 9: Machine Learning Scientist with Python
Master the essential skills to land a job as a machine learning scientist! You’ll augment your Python programming skill set with the toolbox to perform supervised, unsupervised, and deep learning. You’ll learn how to process data for features, train your models, assess performance, and tune parameters for better performance. In the process, you’ll get an introduction to natural language processing, image processing, and popular libraries such as Spark and Keras.
Duration: 93 hours | Total Courses: 23
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website, to get an amazing offer of 60% for students and year-end Season Sales
Course 10: Data Engineer with Python
In this track, you’ll discover how to build an effective data architecture, streamline data processing, and maintain large-scale data systems. In addition to working with Python, you’ll also grow your language skills as you work with Shell, SQL, and Scala, to create data engineering pipelines, automate common file system tasks, and build a high-performance database.
Through hands-on exercises, you’ll add cloud and big data tools such as AWS Boto, PySpark, Spark SQL, and MongoDB, to your data engineering toolkit to help you create and query databases, wrangle data, and configure schedules to run your pipelines. By the end of this track, you’ll have mastered the critical database, scripting, and process skills you need to progress your career.
Please note this track assumes a fundamental knowledge of Python and SQL.
Duration: 73 hours | Total Courses: 19
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website
Course 11: Data Analyst with SQL Server
Learn the basics of database design and the different SQL data types. Then master the core concepts for the exam. In this track, you’ll learn how to write queries, functions, and stored procedures. You’ll also find out how to manage transactions, handle errors, and improve query performance.
Duration: 41 hours | Total Courses: 10
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website, to get an amazing offer of 60% for students and year-end Season Sales
Course 12: Data Visualization with R
Bring your data into focus. Develop the invaluable skills you need to analyze and display data using R—essential when communicating insights and discoveries to non-technical stakeholders. In this track, you’ll learn how to create and modify plots using ggplot2, optimizing the aesthetics and geoms to help you build beautiful and accurate visualizations. From here you’ll progress your ggplot2 skills and learn how to calculate statistics and use facets and coordinates. You’ll also learn some best practices for creating visualizations, including three plot types you should avoid. Start this track and learn how to tell better data stories using data visualization.
Duration: 12 hours | Total Courses: 3
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website, to get an amazing offer of 60% for students and year-end Season Sales
Course 13: Data Manipulation with R
Real-world data is messy. That’s why packages like dplyr and data.table are so valuable. Using these packages, you can take the pain out of data manipulation by extracting, filtering, and transforming your data, clearing a path for quick and reliable data analysis. If you want to improve your data wrangling skills this is the track for you. You’ll learn how to prepare real-world data for analysis and grow your expertise as you work with multiple tables. You’ll also gain hands-on experience of how to combine, merge, and create visualizations. You’ll apply your new-found data manipulation skills using dplyr to analyze voting data from the United Nations. Start this track and discover how dplyr and data.table can save you time manipulating data.
Duration: 20 hours | Total Courses: 5
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website
Course 14: Supervised Machine Learning in R
Supervised learning methods are central to your journey in data science. Learn how to generate, explore, and evaluate machine learning models by leveraging the tools in the Tidyverse. You’ll learn about multiple and logistic regression techniques, tree-based models, and support vector machines. Finally, you’ll learn how to tune your model’s parameters for better performance.
Topics / Contents:
- Machine Learning in the tidyverse
- Intermediate regression in R
- Modeling with tidy models in R
- Machine learning with Tree based models in R
- Support vector Machines in R
- Hyperparameter Tuning in R
Duration: 25 hours | Total Courses: 6
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website
Course 15: Deep Learning for NLP in Python
Further your Natural Language Processing (NLP) skills and master the machine learning techniques needed to extract insights from data. In this track, you’ll learn how to create Recurrent Neural Networks (RNN), build models to translate language, and autocomplete sentences like Gmail using neural translation and seq2seq models. Through interactive exercises, you’ll use the scikit-learn, TensorFlow, Keras, and NLTK libraries. Then, you’ll apply your skills to real-world data, including scripts from The Big Bang Theory, English and French vocabulary, and the works of Shakespeare. Start this track and gain the machine learning skills you need to enhance your NLP skills in Python.
Courses:
- Recurrent Neural networks for Language Modeling in Python
- Machine Translation in Python
- Natural Language generation in Python
Duration: 12 hours | Total Courses: 3
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website
Course 16: Natural Language Processing in Python
The majority of data is unstructured. This includes information recorded in books, online articles, and audio files. In this track, you’ll gain the core Natural Language Processing (NLP) skills you need to convert that data into valuable insights—from learning how to automatically transcribe TED talks through to identifying whether a movie review is positive or negative. Along the way, you’ll be introduced to popular NLP Python libraries, including NLTK, scikit-learn, spaCy, and SpeechRecognition. You’ll start this track by learning how to identify words and extract topics in text before building your very own chatbot that transforms human language into actionable instructions. By the end of the track, you’ll be ready to transcribe audio files and understand how to extract insights from real-world sources, including Wikipedia articles, online review sites, and data from a flight booking system.
Courses:
- Introduction to Natural Language Processing Courses in Python
- Sentiment Analysis in Python
- Building Chatbots in Python
- Advanced NLP with Spacy
- Spoken language Processing in Python
- Feature Engineering for NLP in Python
Duration: 25 hours | Total Courses: 6
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website
Course 17: Deep Learning in Python
In this track, you’ll expand your deep learning knowledge and take your machine learning skills to the next level. Working with Keras and PyTorch, you’ll learn about neural networks, the deep learning model workflows, and how to optimize your models. You’ll then use TensorFlow to build linear regression models and neural networks. Throughout the track, you’ll use machine learning techniques to solve real-world challenges, such as predicting housing prices, building a neural network to predict handwritten numbers, and identify forged banknotes. By the end of the track, you’ll be ready to use Keras to train and test complex, multi-output networks and dive deeper into deep learning.
Courses:
- Introduction to Deep Learning with Python
- Introduction to Tensorflow in Python
- Introduction to deep learning with Pytorch
- Introduction to Deep Learning with Keras
- Advanced Deep Learning with Keras
Duration: 20 hours | Total Courses: 5
Pricing: Premium $4.92/month | teams: $4.92/month
Info: Visit the website
Conclusion:
I hope these Best DataCamp Courses for Beginners & Advanced will help you enhance your ML skills.
Pingback: Best Data Analyst Courses on DataCamp you must learn in 2022 -