Best Data Science Bootcamps for Career Advancement

The speed of digital change does not seem to be decelerating. On the contrary, companies all over the globe are racing against time to stay competitive in an industry where digital technologies, including programming, Big Data, cybersecurity, the Internet of things (IoT), smartphone apps, Blockchain, artificial intelligence, and machine learning, are revolutionizing every facet of the industries and how they operate.

As a result, data science is a one-stop shop for digitalization and vast amounts of data, and practically every firm is using the power of data to achieve its goals. However, given the tremendous need for experienced data scientists and the supply-demand mismatch, joining the highly sought-after group may be brilliant without spending much money on formal education or certification. Instead, you may learn fundamental data science skills through online courses and boot camps to increase your employability.

Data science boot camps fill the diversity and digital skills gap in the data science industry.

How do Bootcamps Work?

• The duration of these intense short-term programmes is from three to six months. However, it may change depending on how difficult the course is.
• Teaching occurs in a hands-on learning setting where actual job experiences are presented.
• They collaborate closely with businesses to determine industry demands, adapting their instruction to the most recent trends and practices.
• Social and emotional competencies like cooperation, learning, and problem-solving are taught alongside digital skills training.
• Most institutions include job fairs and networking opportunities as part of the Bootcamp to help graduates find employment.

Small class numbers, hands-on projects, and effective graduate job rates are features that distinguish data science boot camps from other educational options. Data science boot camps are highly intriguing if you genuinely wish to commit yourself to the world of data. You could even learn everything from the beginning at these programs if you want to keep your knowledge updated.

Leading Data Science Bootcamps in 2022

DataCamp

For experts currently employed in the fields of technology, finance, and healthcare, DataCamp is online. The DataCamp programme, however, will be helpful to everyone interested in data science. In addition to teaching you the required abilities, the courses also allow you to practise and apply those talents to real-world issues through practical projects. Although it’s free, a membership is required for full access.

Bootcamps for data science and analytics are available through DataCamp. Python, R, SQL, Git, Shell, Scala, and spreadsheets are among the systems, languages, and tools taught in this Bootcamp. Also, four hours a week are required to finish a program.

Data Science Dojo

For working professionals, Data Science Dojo provides the quickest data science courses. Predictive models and machine learning are the main topics of the boot camp. In addition, each participant has the opportunity to finish an IoT project and take part in a Kaggle competition.

The programme is intended for professionals in the field who wish to polish up on the most recent techniques or learn more about data science. However, everyone, regardless of ability level, is welcome.

Data science courses are available for data science managers and business leaders, and data engineers for product managers. The institute also provides boot camps for big healthcare data, artificial intelligence, and decision science. This boot camp’s language, system, and tool curriculum cover machine learning models utilizing R, Python, Azure ML, and AWS. In addition, the institute has flexible payment options available.

Dataquest

On the Switchup review website, Dataquest is one of the finest data science boot camps, with almost five-star evaluations for the whole experience, curriculum, and employment assistance. Instead of video conferencing, Dataquest uses “interactive coding tasks,” giving you the chance to write and deal with data while getting feedback.

The institution offers instruction in Python programming, data visualization, pandas, NumPy, data cleaning, SQL, statistics, machine learning, natural language processing, Spark, and many more topics. In addition, programming languages, R Packages, Python Libraries, and other systems and tools are a part of this Bootcamp. If applicants sign up for free membership, their accessibility will be restricted. They must make some little payments to get full access.

Springboard

The Springboard’s six-month Data Science Career Track curriculum typically takes 10 to 15 hours each week. A personal mentor, career coach, and student adviser will be available to you and the Springboard community. After completing the course, you’ll have access to a data science network and an “interview-ready portfolio.” The period lasts for nine months. However, usually, students finish it in two to four. Springboard guarantees they will reimburse your tuition fees if you don’t find employment within six months of graduating.

In the Bootcamp, subjects like Data Science, Data Structures, Data Visualization, Python, Data Wrangling, Statistical Inference, Machine Learning, Data Science at Scale, etc., are covered.

The Bootcamp covers languages, systems, and technologies, including Python, KNIME, Gawk, Weka, Scala, SQL, RapidMiner, Scikit-learn, Apache Hadoop, Apache Mahout, Apache Spark, SciPy, Orange, Axiis, Impala, Apache Drill, etc.

RMOTR

With a set timetable of evening classes, RMOTR provides a 4-month Bootcamp curriculum. Ten “fun and practical” projects for attendees to work on would help them build their data science resumes. In addition, they had to participate in two digital live instructor-led sessions each week. The programme provides access to tutors and post-course assistance.

The Python programming Bootcamp covers a variety of subjects, including data analysis, machine learning, data cleaning with Pandas, and introduction to Pandas for data analysis. The languages, platforms, and tools covered include Bokeh, Numpy, Scipy, Pandas, and Numpy. For the boot camps, the institution provides a free week of enrollment.

Thankful

The Bootcamp includes instruction in Python, data science, web development, programming, and other subjects. The topics addressed include languages, platforms, and tools, including Matplotlib, Bokeh, Numpy, and Pandas.

A project-based syllabus, career planning, one-on-one coaching, and connection with a community of students, advisors, and alumni are all features of the self-paced online Bootcamp that Thinkful provides. Most students finish the course in around six months. However, it does need 20 to 30 hours of study each week. With a job guarantee, Thinkful will repay your tuition fees if you cannot secure employment post completion of the course.

Data Application Lab

The comprehensive data science Bootcamp known as Data Application Lab is another option. Along with typical academic courses, the programmes strongly emphasize preparing students for “practical industrial demands.” They also provide a 10-year coding curriculum and internship if you have less computer science background to help you get up to speed. To give practical knowledge of the concepts, the Bootcamp includes projects on a FinTech (financial technology) project and a Steam game recommendation system. The programme lasts for 16 weeks.

Data Application Lab addresses generic data science, extensive data engineering, fundamentals, data analysis, and the entire data science stack. For example, various Systems, Languages, and Tools Data cleaning techniques using real estate data are discussed. In addition, probability and statistics using R, banking & financial data manipulation with Pandas, and the Python machine learning ecosystem. In addition to these, the program also includes Supervised Learning: Classification, Regression, Big Data, Data Analysis using Hadoop Hive, Advanced visualization & A/B Testing, etc.

K2 Data Science Bootcamp

With our mentor-led curriculum, the Bootcamp will instruct you on how to draw insights from data and have an influence on businesses. The K2 Data Science Bootcamp provides TA help, a Slack community, and lifelong access to the content. In addition, it contains live Python examples and 30 one-on-one mentor sessions covering data science and machine learning techniques.

The principles of computer science, simple Python programming, the SciPy stack, machine learning, statistics, and probability are all covered in this Bootcamp.

SciPy Stack, NumPy, Pandas, Matplotlib, Python, NumPy, Pandas, Matplotlib, Seaborn, web scraping, APIs, SQL, NoSQL, JavaScript, D3.js, Hadoop, and Spark are among the languages, platforms, and technologies explored.

Concluding Thoughts

One must ensure that their abilities have improved by completing the data science boot camp. Additionally, they have in-depth expertise in the data science industry and a thorough grasp of the numerous skills required. The solidification of one’s expertise will come through data science. But, it is essential to remember that it is not a substitute for a regular STEM degree. Entering these boot camps with prior programming experience is preferable as they provide an intense training atmosphere. Data science boot camps also improve one’s resume appearance while preparing for the business.

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