{"id":93431,"date":"2021-11-24T02:12:33","date_gmt":"2021-11-24T10:12:33","guid":{"rendered":"https:\/\/careerkarma.com\/blog\/?p=93431"},"modified":"2022-07-12T04:24:54","modified_gmt":"2022-07-12T11:24:54","slug":"coding-dojo-data-science-program-review","status":"publish","type":"post","link":"https:\/\/careerkarma.com\/blog\/coding-dojo-data-science-program-review\/","title":{"rendered":"Start Your Career in Data Science with Coding Dojo"},"content":{"rendered":"\n

Many professionals today work in a fast-paced environment, so whether data-driven business solutions are used or not can have a significant impact on success or failure. According to a survey by PwC<\/a>, businesses that utilize big data and analytics can enhance their productivity and increase their profits. It\u2019s no wonder that the demand for data professionals continues to increase and shows no sign of slowing down.<\/p>\n\n\n\n

The US Bureau of Labor Statistics<\/a> reports that STEM-related occupations are estimated to rise by as much as eight percent between 2019 and 2029, compared to 3.7 percent for other occupations. The message is clear: Prospective employers are becoming increasingly aware of the need to hire data scientists to help them make effective business decisions.<\/p>\n\n\n\n

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Join Coding Dojo\u2019s Data Science Part-Time Online Program and start your data science career in as little as 12 weeks<\/p>\nLearn more about the program here<\/a>\n<\/div>\n
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Why Become a Data Scientist?<\/h2>\n\n\n\n

If you\u2019re looking for both professional fulfillment and financial growth, upskilling in data science may be the right thing to do. On Glassdoor\u2019s 50 Best Jobs in America<\/a> for 2021, the data scientist role ranked second with an average salary of $113,736. This is much higher than the average salary across most occupations in the United States.<\/p>\n\n\n\n

Essential Data Scientist Skills to Develop<\/h3>\n\n\n\n

Some of the essential qualities<\/a> of a data scientist that employers look for include knowledge and hands-on experience with programming languages and statistical expertise in models, such as regression, clustering, and decision trees. Data scientists should also be familiar with creating a machine learning project and deep learning methods. More importantly, they should know how and when to apply these concepts in their work.<\/p>\n\n\n\n

In terms of soft skills, employers in the tech industry look for flexibility. This means that data scientists should be open to any outcome that the data or models show them. They should also work well as part of a team because they often collaborate with other experienced professionals within the company, including web developers and senior management. Moreover, they should be highly detail-oriented because this will help them identify bugs and potential problems in their work. <\/p>\n\n\n\n

The implementation of data in decision-making is growing, as is the volume of information created worldwide, which is fueling the need for data scientists. With this rise, Coding Dojo<\/a> offers aspiring data scientists a beginner-friendly Data Science Part-Time Online Program<\/a> for those who want to start exploring this in-demand tech career.<\/p>\n\n\n\n

An Overview of Coding Dojo\u2019s Data Science Part-Time Online Program<\/h2>\n\n\n\n

Coding Dojo<\/a>\u2019s part-time Data Science course is a practical, in-depth online program that teaches the fundamentals of data science and machine learning in Python. Students will learn how to retrieve and modify data using in-demand programming languages, such as Python and SQL, to better understand the data science process from beginning to end. Students can choose either a 12-week or 16-week version of the course. <\/p>\n\n\n\n

The course is beginner-friendly and does not require any technical experience, although it may be helpful for students to have some prior programming knowledge. Experience with Excel, Tableau, or Power BI is also a plus, but not required. This part-time course is ideal for people already working in the field of data science and want to expand their skill level. It is also a good starting point for those who are interested in a new career in data science.<\/p>\n\n\n\n

\u201cIf I were to describe data science in one sentence, it is the use of data to solve business problems and make informed and efficient decisions,\u201d said Noelle Brown, a Coding Dojo instructor. This is an important theme of this bootcamp\u2019s data science program.<\/p>\n\n\n\n

Coding Dojo Data Science Course Curriculum<\/h3>\n\n\n\n
\"An<\/figure>\n\n\n\n

A two-week optional pre-work program covering coding and Python essentials is available for students who require more preparation before the course begins.<\/p>\n\n\n\n

The main data science course is organized by stack, with each stack being four weeks long. You can choose a 12-week or 16-week option. Students spend about 20 hours per week on this course. <\/p>\n\n\n\n

From Week 1 to Week 4, students learn data science fundamentals. This includes Python foundations needed for data science, manipulating and understanding data, foundations of data modeling, and additional topics, such as how to use Python to create high-quality graphs to implement key statistical techniques. At the end of Week 4, students focus on hands-on assignments and create a project to showcase what they\u2019ve learned so far.<\/p>\n\n\n\n

The curriculum from Week 5 to Week 8 covers machine learning. Students explore the various concepts of a machine learning project, and tree-based, logistic regression, and gradient boosting algorithms. There are also weekly exercises that include using various technologies like Matplotlib, Pandas, and Scikit-learn. <\/p>\n\n\n\n

From Week 9 to Week 12, students tackle advanced types of machine learning. Clustering methods, and how to use in-demand programming languages, such as SQL and Python are all covered during this time. Students also spend several hours per week studying additional topics that include deep, hands-on learning techniques, and when to use them. <\/p>\n\n\n\n

Weeks 13 to 16, should you choose the 16-week course, covers data enrichment. Students will spend time learning ETL (Extract, Transfer & Load), get additional practice with SQL, dive deeper into statistical models and learn how to choose the best possible model depending on the problem you set out to solve. <\/p>\n\n\n\n

Students in the 16-week program will also complete a group project. These additional weeks of material will help students feel more confident with their skills and add a group project to their portfolio that they can highlight during subsequent interviews.<\/p>\n\n\n\n

Coding Dojo Data Science Course Outcomes<\/h3>\n\n\n\n

By the end of the course, the students will have a comprehensive understanding of the following:<\/p>\n\n\n\n