7 Online Courses for Data Science

Online courses for data science can help you keep up to date with the changes that computer engineering and artificial intelligence development have brought up to multiple industries sectors. 

Taking one of those courses can be the opportunity to start a new career as a data scientist, or to enhance your skills and grow in the company you already work for. Check out the article and discover more about what you will learn with those courses. 

7 Best Online Courses for Data Science#

1. Machine Learning A-Z#

With the Machine Learning A-Z course, you will master Machine Learning in Python and R. You will understand how to make accurate predictions, create robust machine-learning models, and handle advanced techniques like dimensionality reduction. 

The course will also teach you how to build machine-learning models and combine them to solve different problems. You will be able to make powerful analysis, and add value to your business. 

Workload: 42 hours

Certificate: includes a certificate of completion

Main topics:

• Data processing
• Regression
• Classification
• Clustering
• Association rule learning
• Reinforcement learning 
• Natural language processing
• Deep learning
• Dimensionality reduction
• Model selection and boosting

Access type: full lifetime access

2. Python for Data Science and Machine Learning#

The Python for Data Science and Machine Learning course will teach you how to implement machine learning algorithms, use Pandas for data analysis, and use Seaborn for statistical plots. You will understand more about logistic regression and neural networks too.

Besides, you will be able to use NumPy for numerical data, Matplotlib for Python Plotting, and Plotly for interactive dynamic visualizations. This online course for data science also approaches K-means clustering, natural language processing, and spam filters. 

Workload: 25 hours

Certificate: includes a certificate of completion

Main topics:

Environment set-up

• Jupyter overview
• Python Crash course
• Python for data analysis
• Python for data visualization
• Data capstone project
• Introduction to machine learning
• Linear regression
• Logistic regression
• Natural language processing

Access type: full lifetime access

3. The Data Science Course 2023#

The Data Science Course 2023 provides you with the entire toolbox you need to become a data scientist. You will understand the mathematics behind machine learning, and unfold the power of deep neural networks.

You will be able to perform linear and logistic regressions in Python, use deep learning frameworks, and pre-process data. The course also teaches you how to improve machine learning algorithms, code in Python to use it for statistical analysis and apply your skills to real-life business cases. 

Workload: 31 hours

Certificate: includes a certificate of completion

Main topics:

• Popular data science techniques
• Popular data science tools
• Careers in data science
• Probability
• Statistics
• Python
• Advanced statistical methods in Python
• Mathematics
• Deep learning
• Neural networks
• Software integration

Access type: full lifetime access

4. Statistics for Data Science and Business Analysis#

With the Statistics for Data Science and Business Analysis course, you will understand the fundamentals of statistics. The course will teach you how to plot different types of data, estimate confidence intervals, and make data drive decisions. 

You will be able to work with different types of data, perform hypothesis testing, and use dummy variables. Mechanics of regression analysis and how to distinguish different types of distributions are other topics approached by the course. 

Workload: 5 hours

Certificate: includes a certificate of completion

Main topics:

• The fundamentals of descriptive statistics
• Distributions
• Estimators and estimates
• Hypothesis testing
• Regression analysis
• Categorical data

Access type: full lifetime access

5. Data Science A-Z#

With the Data Science A-Z course, you will be able to complete all steps in complex projects from this area. You will understand how to create a Multiple Linear Regression (MLR), interpret the coefficients of an MLR, and read a confusion matrix. 

The course also teaches you how to transform independent variables for modeling purposes, install and navigate SQL server, and build the Cap curve in Excel. Besides, the course approaches Odds Ratio, the Chi-Squared statistical test,  and Microsoft Visual Studio Shell.

Workload: 21 hours

Certificate: includes a certificate of completion

Main topics:

• What is data science
• Visualization
• Modeling
• Data preparation
• Communication
• Presenting for data scientists

Access type: full lifetime access

6. Machine Learning, Data Science and Deep Learning with Python#

The Machine Learning, Data Science and Deep Learning with Python course will teach you how to build artificial neural networks with TensorFlow and Keras. You will be able to classify images, data, and sentiments using deep learning. 

You will also understand reinforcement learning, and how to design and evaluate A/B tests using T-tests and P-values. The course approaches K-means clustering, polynomial regression, and multivariate regression too. 

Workload: 15.5 hours

Certificate: includes a certificate of completion

Main topics:

• Statistics and probability refresher, and Python practice
• Predictive models
• Machine learning with Python
• Recommender systems
• Machine learning techniques
• Dealing with real-world data
• Machine learning on big data
• Experimental design
• Deep learning and neural networks
• Generative models

Access type: full lifetime access

7. Natural Language Processing with Python#

The Natural Language Processing with Python course will enable you to use deep learning to build your own chatbot. You will also learn how to work with text and PDF files in Python, utilize regular expressions for pattern searching in text, and use the Word2Vec algorithm too.

Besides, you will understand Vocabulary Matching with Spacy, Named Entity Recognition, and Non-Negative Matrix recognition. 

Workload: 11.5 hours

Certificate: includes a certificate of completion

Main topics:

• Python text basics
• Natural language processing basics
• Speech tagging
• Text classification
• Semantic and sentiment analysis
• Topic modeling 
• Deep learning for NLP

Access type: full lifetime access

Start Learning Data Science#

As you can see some of the best online courses for Data Science are just one click away from you. There is no need to leave the comfort of your home to start learning important subjects such as machine learning and Python. You just need to choose the course that fits you best and start watching the classes. Don't forget to do the assignments proposed as well, they are very useful to put the theory into practice, and can help you build a portfolio too.