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Which Data Analytics Course is Best?

Jan 14

If you are wondering about which data analytics course to take, you aren't alone. Whether you want to become a data analyst or you just want to learn more about it, there are plenty of options out there. From courses hosted by companies such as Google to those taught by experts at MIT, there's a good chance you'll be able to find one that suits your needs.

MIT Sloan

The MIT Sloan Data Analytics course teaches students how to apply data analytics to solve real-world business problems. It combines theory with hands-on exercises and case studies.

Students in this program will work in teams of two or three to develop a project that helps businesses make better decisions. The course is designed to teach business intelligence specialists, database administrators, and developers how to utilize data.

The curriculum is based on case studies of companies implementing various analytics projects. Each case study includes analysis of the challenges of the organization and an evaluation of their analytics strategy. These case studies also cover topics such as identifying the challenges, goal setting, interpretation, and structuring teams.

Google Career Certificates

If you're looking to get a jump on your data analytics career, you might want to consider taking a Google Career Certificate. This program offers hands-on training and certification for students looking for an entry-level role.

Google Career Certificates are offered as part of Grow with Google, a company initiative to help close the digital skills gap. The courses are taught online through Coursera, and can be completed in as little as six months.

Google Career Certificates are designed to meet employers' demands for candidates with relevant skills. Google's courses teach students how to apply data analysis to business challenges. They also provide insights into the field of data analytics for newcomers.

BrainStation

The BrainStation data analytics course is designed to provide professionals with a fundamental knowledge of data science and the techniques used to analyze data. Its content includes an introduction to the basics of SQL, data preparation, working with relational databases, and creating compelling data visualizations.

Aside from the theoretical material, the course also provides students with hands-on experience. This is done through the project-based learning environment. Students are required to complete a series of projects, which they then present as part of a professional portfolio.

As companies grow and become more and more reliant on data, the need for Data Analysts is on the rise. These professionals are expected to evaluate data and communicate insights to stakeholders.

DataCamp

DataCamp is an online learning platform with over 350 courses in more than 10 categories. These include data science, analytics, and other technical disciplines. It also features free assessments and advice.

The first chapter of all courses is free. This enables beginners to get a feel for the course. In addition, the site offers a community, podcast, and other interactive features.

The site also has a resource center, where students can find cheat sheets and other resources. There is even a slack community where members can interact with each other.

The company has a premium plan with 80 real-world projects to keep students engaged. You can also request a quote for the enterprise plan, which is ideal for larger companies.

Data Science Dojo

The Data Science Dojo is a bootcamp that trains students on the fundamentals of data science. It includes hands-on training and a diverse curriculum, including R programming, machine learning, and predictive analytics.

Students who complete the Data Science Dojo will earn a certificate from the University of New Mexico. They will also have the opportunity to participate in Kaggle, a data science competition. This program is ideal for beginners or experienced professionals who are looking for a way to bolster their skills.

The data science course covers core Python concepts, aggregation and grouping, and data pipelines. It concludes with real-world capstone projects that students can use to build a portfolio.

Thinkful

Thinkful's data analytics course is designed to take you from a complete beginner to a job-ready data analyst in four months. The curriculum includes instructor-led lessons, a virtual classroom environment, and a deep dive into Python, statistics, and business analytics.

In addition to a structured study schedule, the Thinkful data analytics course provides live classes and one-on-one mentorship from industry experts. During the program, students learn about job networks and interview skills, and they work with a career coach to set realistic goals.

Applicants for the course must be at least 18 years old. They must also have a high school diploma or equivalent. Applicants must demonstrate proficiency in both written and oral English. If you want to know more, please consult this link : https://www.lewagon.com/data-analytics-course.