10 Best Datacamp Courses, Classes with certifications

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The excellence of Datacamp when it comes to teaching people various skills online is indisputable. That’s why it is one of the most recommended platforms for learning. Whether it is statistical programming or general coding, you can rest assured that you will earn the right skills in the end. Not even mastering syntax will be a problem since the instructions include code throughout. Additionally, Datacamp has made practicing relatively easy by introducing the in-browser programming area. Under such circumstances, it becomes easy to learn to program, including the correct syntax.

That said and done, the list of the courses you can undertake on Datacamp is undeniably long. Therefore, you might find it hard to know where to begin and the best courses among them all. Fortunately, this article discusses some of the best courses to tackle. So, keep reading as we unveil the top 10 best Datacamp courses.

  1. Deep Learning with Python

Machine Learning is a trend that one cannot afford to assume, and so is one of its subfields, deep learning. The AI function imitates the brain and processes data similarly. It identifies patterns and uses them when making decisions. Upon enrolling in this course, you will learn the basic concepts of deep learning (DL). You will also discover some of the platforms suitable for creating related models. It is a combination of 5 courses. Its 5 segments are designed to help you start with the basics and advance to more complex segments from now on. The instructors are Miguel Esteban, Ismail Elezi, Isaiah Hull, and Dan Becker.

Features

  • An overview of DL using Python
  • Building DL models using Keras 2.0
  • Understanding the neural networks
  • Build DL models with Tensorflow
  • Exploring PyTorch library ideal for creating DL models
  • Creating models in Keras including those with multiple inputs and outputs
Course Details  
Course duration 20 hours
Rating of the Course 4.5  instructor rating
Price of the Course $25 or $35 per month or annually
Levels of Course Beginner
Website Sign up here

 

  1. Data Visualization with R

Upon processing data to information, the next thing is to present it. How you do the presentation matters, given the significant role that its interpretation plays when making the necessary decisions and strategies. That’s where this course comes in. Data visualization with R helps you ensure that data analysis and visualization are as accurate as possible. Since you will have to communicate insights based on the data to people without even the least know-how of the technical aspect, the course teaches you how to do so.  During the first pair of sections, the focus is usually on data visualization using ggplot2. It covers various aspects of ggplot2, including statistics, coordinates, facets, geometrics and

Features

  • It comprises 3 courses that you can handle within 12 hours
  • It covers charts and other types of visualization ideal for data presentation
  • The learner gains necessary skills in data visualizing, including best practices
  • To can test your progress using the exercises availed to you throughout the course
  • Introduction to the interpretation of Trellis graphics using R
Course Details  
Course duration 12 hours
Rating of the Course 4.5  instructor rating
Price of the Course $25 or $35 per month or annually
Levels of Course Beginner
Website Sign up here

 

  1. Introduction to R

This course teaches you the basic concepts of the R statistical programming language. Some basics covered include data frames, factors, and lists. With such skills, you are well equipped to handle data analysis perfectly. It is no secret that R is suitable for implementing statistical operations and data visualizations. That’s why the language is ideal for data science since it revolves around such concepts.

Features

  • This course has up to 6 chapters
  • You get to understand how to use your console as a calculator
  • The learner also learns how to assign variables
  • Matrices and vectors in R
  • Understanding how essential factors are when dealing with data analysis
  • Dealing with data structures, including lists and frames
Course Details  
Course duration 4 hours
Rating of the Course 4.5  instructor rating
Price of the Course $25 to $35 per month or annually
Levels of Course Beginner
Website Sign up here

 

  1. Introduction to SQL

SQL is yet another skill that you can’t take for granted, especially if your career has something to do with being a data scientist or database administrator. SQL stands for a structured query language, and it is crucial in communicating with the database. Consequently, you need these skills if your job description involves interacting with the database.

Features

  • Learning how to use simple commands, including Select in data analysis
  • Mastering the art of working with a relational database, including the relevant lingo and database structure
  • Understand how to filter rows using match patterns and comparison operators
  • Summarizing data for great insights using aggregate functions
  • How to sort and group results
Course Details  
Course duration 4 hours
Rating of the Course 4.5  instructor rating
Price of the Course $25 to $35 per month or annually
Levels of Course Beginner
Website Sign up here

 

  1. Data Analysis in Excel

Excel seems pretty straightforward, but that’s far from the truth. In addition to being quite powerful, it has also proven to be challenging to master. That’s why you need the right course lest you never get to use it to the maximum. Fortunately, Datacamp has precisely that to help you realize the full potential of Excel in data analysis. It doesn’t take much of your time and, above all, teaches you everything necessary to use the tool to your advantage.

Features

  • It focuses on the MS Excel application, including the basics and the advanced topics
  • The learner learns up to 35 functions in excel, including CONTATENATIVE, AVERAGE, and VLOOKUPS
  • You only get to learn 3 chapters
  • Creates an understanding of data analysis and the transformation of raw data into meaningful information
  • It teaches you the use of different functions to clean data
  • It also touches on data analysis and how various functions make the exercise easy
  • The course is also suitable for drawing conclusions based on the available data
Course Details  
Course duration 4 hours
Rating of the Course 4.5  instructor rating
Price of the Course $25 or $35 per month or annually
Levels of Course Beginner
Website Sign up here

 

  1. Data Scientist with Python

It is interesting how Datacamp has made it possible for learners to become data scientists without having any coding experience, to begin with.  All they need to get started is to enroll in this course. It revolves around data, including its import, cleaning, manipulation, and visualization. The course focuses on Python, a critical programming language and tool for any data scientist out there.

Features

  • Understanding fundamental concepts among them interactors, syntax, and error handling
  • Get to know how to analyze not only huge volumes of data but also draw useful insights in the end
  • Using panda for insights visualization
  • Writing functions on your own
  • Performing scientific computations using NumPy
  • Master the ML and statistical topics to easily analyze even the complex data with Python
  • Data importation from various sources including SAS, database, Excel sheet, and internet
  • Understanding the basics of databases and ways of using them efficiently during data analysis
  • Using various libraries in the real world to solve actual problems
Course Details  
Course duration 88 hours
Rating of the Course 4.5  instructor rating
Price of the Course $25 or $35 per month or annually
Levels of Course Beginner
Website Sign up here

 

  1. Data Science for Business

No business can afford to ignore the importance of data science to any business. However, as much as knowing that is essential, what is of most importance is learning how to integrate the two for the goodness of your business. Fortunately, that’s what this Datacamp course is all about. The course entails 14 videos and 51 exercises. Once you complete them, you will know precisely how to use data science to better your business operations. Its duration is 4 hours, whereas the instructor is Mari Nazari.

Features

  • The very first session is the introduction of data science that’s quite brief
  • You also learn how to collect and store data
  • Mastering the art of Ad hoc data requests, dashboards, and A/B testing that are necessary for analyzing and visualizing data
  • It helps you know more about machine learning
  • Oher topics including explainable AI, deep learning, time series prediction, and NLP
Course Details  
Course duration 4 hours
Rating of the Course 4.5  instructor rating
Price of the Course $25 per month or annually
Levels of Course Beginner
Website Sign up here

 

  1. Data Engineering for Everyone

Whereas the popularity of data scientists keeps increasing, there is one area that still lacks experts, and it is none other than the data engineering sector. If you want to close that gap, you can pursue this course and become a data engineer. As much as it doesn’t cover the details of data engineering, it is a perfect foundation for the same. Besides that, it makes it clear how a data engineer differs from a data scientist. It is important to note that it is quite brief, requiring 2 hours only. Its composition includes 11 videos and 32 exercises to help you understand the concepts perfectly.

Features

  • One must admit that it is quite short, consisting of 3 chapters only
  • Introduction to the very first data pipeline
  • Introduction to the fundamentals of data engineering
  • The various options of data storage
  • The management of data warehouses and data lakes by data engineering, including best practices
  • Its instructor is Hadrien Lacroix
  • Understanding the processing and movement of data
  • The learner also gets to know about cloud computing and cloud computing
Course Details  
Course duration 2 hours
Rating of the Course 4.5  instructor rating
Price of the Course $25 or $35 per month or annually
Levels of Course Beginner
Website Sign up here

 

  1. Introduction to Tidyverse

This course is an excellent follow-up once you complete grasping the fundamentals of R. In case you are wondering why you should give it a shot, it is a powerful group of tools perfect for data science and works with R. it is quite brief since it only takes 4 hours to complete. Additionally, it comprises 16 videos and 50 exercises.

Features

  • Master the art of filtering a table following a certain observation
  • Arranging the observations in a specific order
  • Adding, changing, and mutating columns
  • Introduction to ggplot2 packages and its data visualization skills
  • Various data visualization types such as boxplots, histograms, bar plots, and line plots
  • Learning how to group and summarize data
Course Details  
Course duration 4 hours
Rating of the Course 4.5  instructor rating
Price of the Course $25 to $35 per month or annually
Levels of Course Beginner
Website Sign up here

 

  1. Machine Learning Fundamentals with Python

If you want to get started with machine learning, I couldn’t imagine a better course to begin with that incredible journey. All you need is to set aside 20 hours assigned to handle up to 5 courses. Nevertheless, you need to know various basics of Python, including its libraries. Whereas part of the course is supervised, you also get a section that you learn unsupervised. Again, machine learning is one of the hottest topics in technology, and learning it is a great addition to your portfolio. Interestingly, no need to worry about how to get started since Datacamp got your back.

Features

  • The supervised section covers Scikit-learn
  • The unsupervised part also covers the Scikit-learn but also touches on Spicy
  • You will learn how to build and tune models, not forgetting their evaluation
  • A detailed discussion on how to cluster, transform and visualize unlabelled data and, above all, extract insights from it
  • Linear classifiers using Python
  • Understanding deep learning using Python and Keras 2.0
  • Practice to gauge your understanding of the various concepts
Course Details  
Course duration 20 hours
Rating of the Course 4.5  instructor rating
Price of the Course $25 or $35 per month or annually
Levels of Course Beginner with knowledge of Python
Website Sign up here

 

 

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