Learn the skills you need to succeed as a data scientist in our live online career-focused data science bootcamps and courses.
Data Science Classes Live Online
Data science is a broad, interdisciplinary field that draws from skills in computer programming, machine learning, artificial intelligence, statistics, math, and problem-solving to help locate patterns within data. By applying data science techniques and tools to vast amounts of data, the patterns and trends that are located can be studied to provide actionable insights to internal and external stakeholders. Data science is an in-demand skill set across private and public sectors. It has applications in fields like finance, healthcare, advertising, and marketing.
Advantages of an Online Course
Those who wish to study data science can choose between in-person coursework and online training content. Online classes are available in the live format, as well as asynchronously. Each type of learning has its own benefits.
Live online data science classes are taught via teleconferencing platforms like Teams or Zoom. Participants meet at regularly scheduled times and connect with an expert instructor in real-time. Through small class instruction, students learn core data science concepts, skills, and software, like Python, SQL, Excel, Tableau, machine learning, and statistical analysis. When studying with live online coursework, participants work directly with the instructor. They can ask questions as they arise and receive immediate feedback. Students can even share their screens with the instructor (with permission) for additional clarification. Live online coursework still requires committing to regularly scheduled classes, which may mean having to arrange data science study around full-time work or other professional and personal commitments. However, this interactive learning format provides participants with interactive training, as well as a chance to connect with other students who are studying data science.
Another online training format available for learning data science is through on-demand material. Unlike live online content, which is taught in the live environment, on-demand data science material is pre-recorded and posted online. This means learners can complete their studies from any location and do so at any time. Participants can also determine their own learning pace, which is not an option in live online coursework. Learners with busy work schedules can complete their studies around these commitments, which may mean studying for a few hours on a Saturday or spacing studies out for fifteen minutes each weeknight.
Often, self-paced material is a more affordable learning option than live online study. Some educators even offer content for free. Because so much material is posted online, it’s important to research the provider you select before enrolling in an on-demand data science class. This will ensure that graduates who already completed their studies had a positive experience and that course material is up to date. On-demand data science training material is available in a variety of formats that span different lengths. Students can watch short YouTube videos that deal with one data science skill, such as automating tasks, or can opt for a longer and more involved program that takes ten hours to complete and provides an overview of the field of data science.
Since no instructor is available for on-demand data science courses, it can be challenging for some learners to master advanced concepts in this format. Even self-motivated learners may find it difficult to learn independently and have to find answers to questions on their own. For this reason, those seeking data science instruction may start with on-demand content, then progress into more structured training material. In particular, individuals who are learning data science for professional reasons will likely need the support of a live instructor to fully master the many skills needed to become a Data Scientist.
Live Online Data Science Courses
Many top educators offer live online data science coursework. Participants can select from beginner-friendly content or opt for more advanced training options. In addition, some classes focus broadly on data science, whereas others provide instruction on one tool or skill, such as using Python for automation and machine learning. The following sections will explore some current course offerings, as well as the class requirements and tuition.
SQL Bootcamp - NYIM Training
SQL is one of the core programming languages Data Scientists use. If you’re interested in learning to work with SQL, NYIM Training’s SQL Bootcamp is available. Those enrolled in this hands-on class learn how to work with SQL queries to transform the information stored in databases into useful insights. Participants in this bootcamp start with basic database concepts, such as working with rows, columns, and tables, as well as coding queries to retrieve specific information. Those enrolled query databases with Microsoft SQL Server and the free SSMS app. The content taught in this program can be applied to other SQL flavors, like Microsoft Aceess or MySQL, with only minor syntax changes. Tuition for this 18-hour class is $975.
Data Analytics Technologies Bootcamp - NYIM Training
NYIM Training’s Data Analytics Technologies Bootcamp is available for those who are interested in advanced training in data analytics and data science skills. Those enrolled in this hands-on program learn how to perform data analysis and visualization using Microsoft Excel and Tableau. They also learn how SQL can be used to connect with the data contained in relational databases. Real-world training is provided to participants in the form of project-based lessons. By course completion, those enrolled will have a firm understanding of how raw data can be transformed into useful insights. This 51-hour bootcamp costs $1,949. Tuition includes a free course retake for up to one year.
Python for Data Science Bootcamp - Noble Desktop
Python for Data Science Bootcamp is a hands-on class in which participants progress from learning Python basics into analyzing real-world datasets over the course of 30 hours. Students receive hands-on instruction on how Python can be used in data science, as well as how to create programs and data visualizations with this language. Instruction is also provided on using Python to work with data and with statistics to design machine-learning models. Learners also become familiar with how to import and clean data using Pandas and NumPy, and how to work with Matplotlib to analyze and visualize data. Those who graduate from this intensive bootcamp will be ready to apply their skills and dive into machine learning. Tuition is $1,495 and includes the option of a free course retake for up to a year.
Python Data Visualization & Interactive Dashboards - Practical Programming
Learners who wish to study how Python can be used to create data visualizations and dashboards can enroll in Practical Programming’s Python Data Visualization & Interactive Dashboards. Participants learn Python skills by completing hands-on projects that teach them how to collect, manipulate, and analyze real-world data. Learners use Pandas and NumPy libraries, as well as Plotly, Seaborn, and Matplotlib, to visualize data and create dashboards. The projects completed in this class can be deployed online using GitHub and Heroku server so potential employers can see them. Those interested in enrolling in this course should complete the Python for Data Science Bootcamp before enrolling. Tuition is $1,695.
Python for Data Science & Machine Learning Bootcamp - Noble Desktop
Noble Desktop’s Python for Data Science & Machine Learning Bootcamp prepares students to create machine learning algorithms capable of independently learning patterns and making decisions. Participants in this hands-on program learn how Python can be used for machine learning, data science, automation, and data visualization. Those enrolled learn how to analyze data using Python’s core data science libraries, Pandas, NumPy, and Matplotlib. Instruction is also provided on how to use machine learning packages like Sci-Kit Learn to create predictive data models. The final unit of this bootcamp involves data visualization. Students work with Seaborn, Dash Enterprise, Plotly, and Matplotlib to design interactive dashboards and visualizations. The cost of study is $3,495. This fee includes 96 hours of live instruction as well as one-on-one mentoring sessions outside of class.
Python for Automation - Practical Programming
Those interested in learning how Python can automate repetitive tasks can enroll in Python for Automation. Instruction is provided on how Python code can be used to obtain the exact data needed from a website. Participants learn how to write loops, perform data scraping, run programs on a schedule, and format the data that has been scraped. This hands-on program is intended for those who are new to programming and want to learn to use Python for software or web development. As a prerequisite, students should have prior knowledge of CSS and HTML. Tuition is $425. It takes one full day or two half-days to complete this course. It takes five full days or ten half-days to complete this class.
On-Demand Data Science Courses
In addition to live online data science classes, on-demand coursework is available from several educators. The following are several examples of asynchronous data science courses currently available.
The Data Science Course: Complete Data Science Bootcamp - Udemy
Udemy’s The Data Science Course is designed to prepare participants to pursue a career as a Data Scientist. Those enrolled learn a range of in-demand data science skills, such as basic and advanced statistical analysis, Tableau, deep learning, and machine learning. Instruction is also provided using Python’s data science libraries, such as Seaborn, NumPy, and Pandas.
By course completion, those enrolled in this self-paced program will have a solid understanding of the math behind machine learning, will be comfortable creating machine learning algorithms in Python, and will be able to perform linear and logistic regression with Python. Tuition is $125. This includes 31 hours of on-demand video content, as well as access to 542 downloadable resources and 92 articles.
Data Science Specialization - Coursera
For those interested in a deep dive into data science, Coursera’s Data Science Specialization is available. Participants in this ten-course introductory program receive a comprehensive introduction to the field of data science. Instruction is provided on using R to clean, analyze, and visualize data. By course completion, those enrolled will know how to perform regression analysis and navigate the whole data science pipeline. Students also work with GitHub to manage and showcase the projects they complete. This beginner-friendly course is free to register in and is offered by Johns Hopkins University.
Python for Data Science & Machine Learning Bootcamp - Udemy
Python for Data Science & Machine Learning Bootcamp is available for those interested in learning a range of machine learning and Python programming skills. Participants in this asynchronous program learn to work with NumPy to analyze numbers, Pandas to analyze data, and Matplotlib for plotting tasks. Instruction is offered on working with Spark to analyze big data, Seaborn for statistical plotting, and Plotly to create engaging data visualizations. By the end of this program, those enrolled will also be familiar with neural networks, natural language processing, linear regression, and K-means clustering. Tuition is $110. In addition to 25 hours of on-demand video content, this feel includes five downloadable resources and access to 13 articles.
