Metis is a data science bootcamp that offers short and long-term courses. Its programs are taught live online, and focus on real-time interaction among students. All of this institution’s rigorous courses cover advanced topics, so applicants must have a background in programming and statistical analysis.
In this Metis review, we will cover all of the courses, tuition cost, and financing options offered by this bootcamp.
Metis is a bootcamp specifically for programmers who want to develop their skills to prepare for a career in data science. Some topics covered in these courses include Bash, Python, machine learning, linear regression, interactive data visualization, natural language processing, and algorithms. It also covers big data tools like Hive, Hadoop, and Spark.
The project-based, hands-on learning provided in these programs will give you the experience you will need to thrive as a professional data scientist. The bootcamp offers its students networking opportunities in the form of job fairs attended by potential employers. It also provides attendees with career support, interview prep, and job placement assistance.
Metis offers four main bootcamps in specific areas of data science. It also has a prep course that will help students prepare for these bootcamps, plus several short courses on topics such as deep learning fundamentals, linear algebra, probability, calculus, and statistics.
This program starts with the basics of exploratory data analysis. In it, students will learn Python and SQL so that they can easily organize data. Students will also learn advanced data analysis methods with the two programming languages.
For their final project, students will gather insight from a cluttered dataset and perform exploratory data analysis with the Pandas Python library. They will demonstrate their ability to collect, clean, and maintain data using a SQL relational database.
This training program will teach you the concepts of exploratory data analysis and how to apply them. In the course, you will use Python to create, manipulate, and describe simple data classes. Students will also learn how to extract insight from disorganized datasets.
The course also teaches how to gather and maintain data in an SQL-based relational database.
This program covers Python and SQL, including how the two data management languages can be used to analyze the collected information. The final project in this course involves extracting insight from a dataset. To do this, you will write code with Jupyter notebooks and use Matplotlib to visualize your results.
This program will expand your knowledge of exploratory data analysis. As with the other courses, it relies heavily on the programming languages Python and SQL. Students will complete projects in which they gather and clean data in relational databases.
Metis has a simple application process. Prospective students must submit an application online and complete a non-technical interview, as well as a technical assessment.
Members of the admissions team will review your resume and your performance in the subsequent interview and exam. With these three elements, the team will determine whether you will succeed in the program you have applied to.
The team will be assessing your communication skills, programming and math experience, your motivation for applying, and whether you have the potential to succeed in the industry.
The team will contact you within two days of your interview to tell you whether you’ve been admitted.
The tuition cost at Metis ranges from $9,000 to $18,500, depending on the program. The bootcamp offers a $2,000 scholarship for women and other groups that are underrepresented in technology, such as LGBTQ community members and veterans.
To pay for our course, you can cover the full tuition cost upfront, or choose one of the school’s installment plans. These payment plans are all interest-free.
Metis also offers low-interest loans via its lending partners Climb Credit and Skills Fund. These companies offer different repayment plans depending on the student’s financial needs.
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