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200 Courses

Course

Object-Oriented Programming in Python

  • AdvancedSkill Level
  • 4.7+
  • 728 reviews

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

Software Development

4 hours

Course

Web Scraping in Python

  • IntermediateSkill Level
  • 4.7+
  • 989 reviews

Learn to retrieve and parse information from the internet using the Python library scrapy.

Data Preparation

4 hours

Course

Introduction to Deep Learning in Python

  • IntermediateSkill Level
  • 4.8+
  • 211 reviews

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

Artificial Intelligence

4 hours

Course

Image Processing in Python

  • IntermediateSkill Level
  • 4.8+
  • 200 reviews

Learn to process, transform, and manipulate images at your will.

Machine Learning

4 hours

Course

Linear Classifiers in Python

  • IntermediateSkill Level
  • 4.8+
  • 320 reviews

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Machine Learning

4 hours

Course

Intermediate Python for Finance

  • IntermediateSkill Level
  • 4.7+
  • 912 reviews

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

Applied Finance

4 hours

Course

Introduction to Testing in Python

  • AdvancedSkill Level
  • 4.7+
  • 1,198 reviews

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

Software Development

4 hours

Course

Explainable AI in Python

  • IntermediateSkill Level
  • 4.8+
  • 1,017 reviews

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

Artificial Intelligence

4 hours

Course

Regular Expressions in Python

  • BasicSkill Level
  • 4.7+
  • 178 reviews

Learn about string manipulation and become a master at using regular expressions.

Software Development

4 hours

Course

Time Series Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 129 reviews

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Probability & Statistics

4 hours

Course

Cluster Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 927 reviews

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Machine Learning

4 hours

Course

Experimental Design in Python

  • IntermediateSkill Level
  • 4.7+
  • 1,720 reviews

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

Probability & Statistics

4 hours

Course

Developing Python Packages

  • IntermediateSkill Level
  • 4.7+
  • 874 reviews

Learn to create your own Python packages to make your code easier to use and share with others.

Software Development

4 hours

Course

Model Validation in Python

  • IntermediateSkill Level
  • 4.8+
  • 803 reviews

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Machine Learning

4 hours

Course

Hyperparameter Tuning in Python

  • IntermediateSkill Level
  • 4.8+
  • 763 reviews

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

Machine Learning

4 hours

Course

Introduction to MongoDB in Python

  • IntermediateSkill Level
  • 4.7+
  • 345 reviews

Learn to manipulate and analyze flexibly structured data with MongoDB.

Data Engineering

3 hours

Course

Introduction to Databases in Python

  • IntermediateSkill Level
  • 4.7+
  • 255 reviews

In this course, youll learn the basics of relational databases and how to interact with them.

Data Manipulation

4 hours

Course

Sentiment Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 412 reviews

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

Machine Learning

4 hours

Course

Credit Risk Modeling in Python

  • IntermediateSkill Level
  • 4.7+
  • 255 reviews

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

Applied Finance

4 hours

Course

Biomedical Image Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 226 reviews

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Data Manipulation

4 hours

Course

Dimensionality Reduction in Python

  • IntermediateSkill Level
  • 4.8+
  • 813 reviews

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

Machine Learning

4 hours

FAQs

What is data science?

Data science is an area of expertise focused on gaining information from data. Using programming skills, scientific methods, algorithms, and more, data scientists analyze data to form actionable insights.

How can I learn data science?

You’ll need to learn a programming language such as Python or R and master the principles of math and statistics. Knowledge of data analysis methods and data science tools is also essential. There are many ways to learn data science. As well as formal means of education, such as a degree or university study, there are plenty of other resources to help you learn at your own pace. As well as online courses and tutorials, there are books, videos, and more.

What skills are required for data science?

As well as knowledge of mathematics and statistics, data scientists need programming skills in languages such as Python, R, and SQL. Additionally, data science requires the ability to work with large data sets, knowledge of data visualization, data wrangling, and database management. Skills in machine learning and deep learning can also be useful.

What can I use data science for?

In a professional capacity, almost every industry can use data science to some degree. Healthcare organizations use data science to detect and cure diseases, while finance companies use it to detect and prevent fraud. All kinds of industries use data science for marketing, such as building recommendation systems and analyzing customer churn.

Is data science a good career?

Yes, data science is among the fastest-growing sectors in the US and worldwide. It’s also one of the best-paid careers out there. According to data from Payscale, experience data scientists earn an average of $97,609 and have a satisfaction rating of four stars out of five in the US.

Is it difficult to become a data scientist?

There are a few things to consider here. First, data science degrees can be competitive to get onto, often requiring consistently high grades. Similarly, many of the skills required for data science require a lot of study and patience. It can take several months to master all of the necessary basics, as well as a lot of practical experience to secure an entry-level position.

Does data science require coding?

Yes, you’ll need some coding experience in languages such as Python, R, SQL, Java, and C/C++. However, due to its relatively simple syntax, Python programming language is often the preferred choice among newcomers.

How long does it take to become a data scientist?

For a person with no prior coding experience and/or mathematical background, it can typically take 7 to 12 months of intensive studies to be at the level of an entry-level data scientist. However, it is important to remember that learning only the theoretical basis of data science may not make you a real data scientist.

What topics can I study within data science?

Once you’ve mastered the foundations of data science, you can then specialize in a variety of areas, including machine learning, artificial intelligence, big data analysis, business analytics and intelligence, data mining, and more.

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