Build Practical Data Science Skills through Hands-On Projects in 2 Days

Data science skills require constant practice. Wouldn’t it be helpful to you if you get to fast-track your learning with some short-term courses that span over just a few hours? Sounds interesting, doesn’t it? This article will help you explore how you can improve your data science skills with some effective and interesting short-term data science courses and projects. We have categorized these data science courses and projects based on different skills so that you can easily pick the ones you are interested in. Let’s explore.

 

You may also be interested in exploring: 

Popular Data Science Basics Online Courses & Certifications	Popular Machine Learning Online Courses & Certifications
Popular Statistics for Data Science Online Courses & Certifications	Popular Python for data science Online Courses & Certifications

Basics of Data Science

Data science enables organizations to better decision-making, predictive analysis, and pattern discovery, ultimately meeting business goals. To start with, you must strengthen the basics of data science. The below list of projects and data science courses will help you to build that base.

• Data Science Project: MATLAB for the Real World on Coursera (Duration – 13 Hours)
• Developing Data Science Projects With Limited Computer Resources Using Google Colaboratory by Coursera (Duration – 2 Hours)
• Data Science for Business with R Programming by Coursera (Duration – 2 Hours)
• Introduction to Widgets for Data Science by Coursera (Duration – 2 Hours)
• Data Science: Inference and Modeling by edX (Duration – 12 Hours)
• Data Science 2021: Complete Data Science & Machine Learning by UDEMY (Duration – 25 Hours)
• Data Structures and Algorithms (III) by Coursera (Duration – 27 Hours)
• Data Science Real-World Use Cases – Hands On Python by UDEMY (Duration – 5 Hours)
• Statistics & Mathematics for Data Science & Data Analytics by UDEMY (Duration – 11 Hours)

To learn more about data science, read our blog post: What is data science?

Programming

Programming skills are mandatory for any data scientist, irrespective of the company and industry you are working for. You must know how to use programming languages, including statistical programming languages, like R or Python, and a database querying language like SQL. Some of the short-term projects or courses that you can take to enhance your programming skills include –

• R Programming A-Z™: R For Data Science With Real Exercises! By Udemy (Duration – 10 Hours)
• R Basics – R Programming Language Introduction by Udemy (Duration – 4 Hours 6 Minutes)
• SQL for Data Science by University of California, Davis on Coursera (Duration – 14 Hours)
• Databases and SQL for Data Science by IBM on Coursera (Duration – 15 Hours)
• Python Data Structures by the University of Michigan on Coursera (Duration – 19 Hours)
• Programming for Everybody (Getting Started with Python) by the University of Michigan on Coursera (Duration – 19 Hours)
• Learn Data Science With R by Udemy (Duration – 9 Hours)
• Segment your market using factor analysis with R programming by Coursera (Duration – 2 Hours)
• Programming for Everyone: Programming Foundations by Coursera (Duration – 2 Hours)
• Turbo C++ by Great Learning(Duration – 1 Hour)
• Visual Basic Programming: Inheritance and Polymorphism on Coursera (Duration – 23 Hours)

You may also be interested in exploring: 

Popular Data Science Basics Online Courses & Certifications	Popular Machine Learning Online Courses & Certifications
Popular Statistics for Data Science Online Courses & Certifications	Popular Python for data science Online Courses & Certifications

Machine Learning & Deep Learning

Any data-driven organization, including Amazon, Netflix, Google, etc., highly depends on machine learning methods and models. To manage massively supervised and unsupervised data, identify patterns in a given data, build self-explanatory models, and make predictions, you must be a pro at advanced machine learning concepts and have working experience with the most popularly used machine learning tools. To be more valuable to your organization or to get placed in the company of your choice, sharpen your skills in machine learning and deep learning. Below courses can be helpful to you –

• Mastering Data Science and Machine Learning Fundamentals by Udemy (Duration – Theory + 1 Hour 47 Minutes Video)
• Welcome to Artificial Intelligence ! by Udemy (Duration – 49 Minutes Video)
• AI Workflow: Machine Learning, Visual Recognition and NLP by IBM on Coursera (Duration – 7 Hours)
• 2020 AWS SageMaker, AI and Machine Learning Specialty Exam by Udemy (Duration – 15 Hours)
• How Google does Machine Learning by Google Cloud on Coursera (Duration – 8 Hours)
• Deployment of Machine Learning Models by Udemy (Duration – 9 Hours)
• Neural Networks and Deep Learning on Coursera (Duration- 20 hours)
• Deep Learning for Business by Yonsei University on Coursera (Duration – 6 Hours)
• Deep Neural Networks with PyTorch by IBM on Coursera (Duration – 33 Hours)
• Computational Neuroscience by the University of Washington on Coursera (Duration – 26 Hours)
• Deep Learning in Computer Vision by National Research University Higher School of Economics on Coursera (Duration – 17 Hours)
• Applied AI with DeepLearning by IBM on Coursera (Duration – 22 Hours)
• Fundamentals of Decision Trees in Machine Learning by UDEMY (Duration – 2 Hours)
• Exploratory Data Analysis for Machine Learning by Coursera (Duration – 8 Hours)
• Algorithms with Numbers by Coursera (Duration – 17 Hours)
• Computer Vision with Embedded Machine Learning by Coursera (Duration – 31 Hours)
• Managing Machine Learning Projects by Coursera (Duration – 18 Hours)

Artificial Intelligence

Artificial intelligence is the buzzword for the technology industry and is here to stay. It has enabled the creation of computing systems that can see, hear, learn, and reason. So it goes without saying that you need to keep updating yourself with the technologies and skills that make you more of an AI expert than a generalist. Take a look at these short-term AI courses which can add to your skills and help you develop more multi-purpose and application-specific solutions to real-life problems.

• AI For Everyone on Coursera (Duration – 6 hours)
• AI Workflow: Business Priorities and Data Ingestion by IBM on Coursera (Duration – 6 hours)
• AI Capstone Project with Deep Learning by IBM on Coursera (Duration – 16 hours)
• Custom Prediction Routine on Google AI Platform on Coursera (Duration – 2 hours)
• Business Implications of AI: A Nano-course by EIT Digital on Coursera (Duration – 2 hours)
• Welcome to Artificial Intelligence by Udemy (Duration – 1 Hour)
• CS50’s Introduction to Artificial Intelligence with Python by Harvard by edX (Duration – 19 Hours)
• Artificial Intelligence A-Z: Learn How To Build An AI by UDEMY (Duration – 16 Hours)
• Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning by Coursera (Duration – 4 hours)
• Innovations in Investment Technology: Artificial Intelligence by Coursera (Duration – 11 hours)
• Developing AI Applications on Azure by Coursera (Duration – 16 hours)
• Human Factors in AI by Coursera (Duration – 16 hours)

Data Wrangling

Did you know that if your data is outdated or irrelevant, it serves no purpose! This is why data wrangling is important. It helps to deal with the imperfections in data and makes it easy to work with. From a small company to a big data-driven company, such data science skills are very important for every data scientist to have and keep on updating. In this lockdown phase, you must work on improving your data wrangling skills with these courses.

• Complete Data Wrangling & Data Visualisation In R by Udemy (Duration – 6 Hours)
• Data Wrangling in Pandas for Machine Learning Engineers by Udemy (Duration – 1 Hour 45 Minutes)
• Data Wrangling, Analysis and AB Testing with SQL by University of California, Davis on Coursera (Duration – 15 Hours)

With a humongous amount of data generated every day globally, it is crucial that it should be managed well and communicated in presentable formats to make data-driven decisions. Data visualization has proved to be immensely helpful for data scientists to digest the information and graphically displayed it as dashboards, graphs, or maps. If you are yet to explore the data visualization territory then it is the ideal time! Go through these courses, enhance your knowledge of data visualization, and learn more about the tools like Tableau, matplotlib, ggplot, or d3.js.

• Data Visualization with Tableau Specialization on Coursera (Duration – 15 hours)
• The Complete Tableau Bootcamp for Data Visualization on Udemy (Duration – 15 hours)
• Microsoft Excel – Data Visualization, Excel Charts & Graphs on Udemy (Duration – 4 hours 45 minutes)
• Data Visualization with Tableau Project on Coursera (Duration – 16 hours)
• D3.js Data Visualization Fundamentals on Pluralsight ((Duration – 4 hours 35 minutes)

Statistics

As a data scientist, you must have encountered cases involving statistical tools and methods in data analysis/sorting/visualization. It is vital to have a good command and understanding of topics like statistical tests, distributions, maximum likelihood estimators, etc. Data-driven enterprises mostly seek data scientists with appropriate statistics skills, along with other data science skills, so that they can contribute towards making enterprise-driven decisions and evaluating experiments. Some of the popular statistics courses you can think of doing include –

• Statistics for Data Science and Business Analysis by Udemy (Duration – 5 Hours)
• Linear Regression and Modeling by Duke University on Coursera (Duration – 9 Hours)
• Bayesian Statistics: From Concept to Data Analysis by Coursera (Duration – 10 Hours)
• Data Science: Linear Regression by edX (Duration – 19 Hours)
• Statistics for Data Science and Business Analysis by Udemy (Duration – 5 Hours)
• Statistics for Data Science with Python by Coursera (Duration – 12 Hours)
• Fundamentals of Decision Trees in Machine Learning by Udemy (Duration – 2 Hours)
• Learn BERT – most powerful NLP algorithm by Google on Udemy (Duration – 6 Hours)
• Decision Tree – Theory, Application and Modeling using R on Udemy (Duration – 6 Hours)