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Coding Dojo's Data Science & Visualization Bootcamp is a 20-week, part-time online program. It includes a 16-week focus on data science and machine learning, followed by a 4-week specialization in data visualization using Tableau. The course covers the entire data science process, emphasizing practical application and project-based learning. Students will gain skills in data preparation, analysis, and the use of machine learning algorithms to solve complex problems. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required; all levels welcome Suitable for professionals seeking career advancement in data science What to Expect 20-week part-time online format Hands-on projects and real-world applications Focus on data visualization and machine learning What You'll Achieve Portfolio of projects showcasing data science skills Comprehensive understanding of data science processes Ability to apply machine learning algorithms effectively

via Coding Dojo
20 weeks 25 hrs/week
$13,995

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Moringa School's Online Data Science course offers a comprehensive curriculum designed to prepare learners for diverse careers in business, health, engineering, and more. Delivered online through real-world projects, the course provides practical skills and hands-on experience with actual data. This program is ideal for those seeking to understand data science's application in various industries. Before You Learn / Who This Course Is For Open to individuals from any industry Ideal for career changers and upskillers No prerequisites required What to Expect Online format with real-world projects Hands-on experience with real data Market-inspired curriculum What You'll Achieve Practical data science skills Preparation for careers in multiple industries

via Moringa School
23 weeks 40 hrs/week
$1,805

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The Data Science course equips learners with essential skills for a data science career through hands-on projects and portfolio development. The course offers a comprehensive exploration of statistics, machine learning, and data processing using Python libraries like NumPy and Pandas. Delivered online, participants will engage with real-world datasets and tools, ensuring practical understanding and readiness for industry challenges. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required Suitable for both technical and non-technical backgrounds What to Expect Online, self-paced learning with hands-on projects Utilize Python libraries: NumPy, Pandas, Matplotlib Collaborate using Git and cloud services What You'll Achieve Create multiple portfolio pieces showcasing skills Master data processing including time series and NLP Develop practical, industry-ready data science skills

via CodeOp
11 weeks 1 hr/week
N/A

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Qwasar's Data Science Program offers an in-depth exploration of data science through a hands-on, project-based approach. This online bootcamp covers key topics such as regressions, data collection, and data storage. Designed for students to leverage data for strategic business outcomes, the curriculum emphasizes practical application of data science skills in real-world scenarios. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts Open to technical and non-technical backgrounds No strict prerequisites required What to Expect Online, project-based learning format Covers regressions, data collection, and storage Hands-on projects with real-world applications What You'll Achieve Proficiency in using data to drive business outcomes Ability to handle structured and unstructured data

via Qwasar Silicon Valley
48 weeks 1 hr/week
N/A

No reviews yet

This Data Science course equips learners with essential tools to advance their data science careers. Delivered online, it offers hands-on training in Python libraries and SQL, and covers topics like statistics, machine learning, and cloud services. Participants will build multiple portfolio pieces and collaborate on projects, providing practical experience and showcasing their new skills. Before You Learn / Who This Course Is For Designed for aspiring data scientists Ideal for learners with basic programming knowledge No advanced prerequisites required What to Expect Online delivery with hands-on training Projects using Python, SQL, and cloud services Collaborative learning environment What You'll Achieve Industry-ready data science toolkit Portfolio projects to demonstrate skills Practical experience with diverse data formats

via CodeOp
30 weeks 1 hr/week
N/A

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CodingNomads offers a comprehensive online bootcamp designed to take learners from beginner to professional in data analysis, data science, machine learning, and AI. The program includes courses in Python, SQL, and deep learning, utilizing real-world datasets and popular tools like Numpy and Pandas. Students benefit from one-on-one mentorship, chat support, and a community of learners, with most completing the curriculum within 6-10 months, plus additional career support. Before You Learn / Who This Course Is For Open to beginners and aspiring data professionals Ideal for career changers in tech fields No prerequisites; commitment to learning required What to Expect Online, self-paced learning with flexible schedule Access to real-world datasets and tools like Numpy One-on-one mentorship and peer support channels What You'll Achieve Skills in Python, SQL, and machine learning Career mentorship to guide job transitions Potential for career advancement and salary increase

via CodingNomads
36 weeks 15 hrs/week
$8,725

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Jedha's Data Scientist Bootcamp offers an extensive 450-hour curriculum designed to develop advanced skills in Data Science, Data Engineering, and Machine Learning. Available as a three-month bootcamp or as a self-paced course over 30 weeks, this program provides a flexible learning experience. Through comprehensive, project-based learning, students gain practical expertise essential for a career transition into data science roles. Before You Learn / Who This Course Is For Open to aspiring Data Scientists and Engineers Ideal for career changers in tech fields No prerequisites required What to Expect Self-paced or three-month bootcamp options Project-based learning with real-world applications Focus on Data Science, Engineering, and Machine Learning What You'll Achieve Gain advanced Data Science and Engineering skills Prepare for career transition into data roles

via Jedha
12 weeks 37 hrs/week
N/A

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Jedha's Data Engineer course offers a comprehensive program for those in the data field seeking to enhance their dual competency in Data Science and Data Engineering. This course covers machine learning, reinforcement learning, and data engineering over 112 hours. Available as a three-week bootcamp or an eight-week self-paced format, it provides hands-on, project-based learning to prepare participants for hybrid roles in high demand. Before You Learn / Who This Course Is For Data professionals enhancing skills Ideal for aspiring data engineers No specific prerequisites required What to Expect Choice of bootcamp or self-paced Focus on machine learning and data engineering Hands-on, project-driven learning What You'll Achieve Mastery of machine learning techniques Reinforcement learning skills Preparedness for hybrid data roles

via Jedha
3 weeks 1 hr/week
N/A

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The Data Science bootcamp is a 20-week, full-time program running from 9 am to 1 pm, Monday through Friday. It equips learners with skills in programming, statistical analysis, and machine learning to create data-driven solutions. The course emphasizes hands-on learning through real dataset analysis and visualization, preparing students for careers in data science and analytics. Before You Learn / Who This Course Is For Ideal for aspiring Data Analysts, Data Scientists, Engineers Open to all levels; no prior experience needed Perfect for passionate and tenacious learners What to Expect Full-time, live instruction over 20 weeks Hands-on projects with real datasets Focus on programming, machine learning, and visualization What You'll Achieve Proficiency in data analysis and machine learning Skills applicable to Data Analyst and Scientist roles

via Ubunifu College
20 weeks 1 hr/week
N/A

No reviews yet

The Data Science Bootcamp at Nashville Software School is an intensive, part-time evening program tailored for individuals with backgrounds in statistics, quantitative research, or software engineering. This hands-on course equips learners with essential skills in data science, blending statistical analysis, business acumen, and programming. Through real-world problem-solving, participants gain practical experience necessary for roles such as Data Scientist, Data Analyst, or Data Engineer. Before You Learn / Who This Course Is For Ideal for those with stats, research, or software backgrounds Designed for aspiring Data Scientists, Analysts, and Engineers Prior experience in quantitative fields recommended What to Expect Part-time evening classes for flexible learning Hands-on training with real-world data challenges Focus on software engineering and analytical skills What You'll Achieve Gain skills for Data Scientist, Analyst, or Engineer roles Practical experience in data-driven problem-solving

via Nashville Software School
39 weeks 15 hrs/week
$13,125

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Start with the skill you want to learn and the work you want to do with it. Compare the syllabus, projects, instructor feedback, total cost, and time commitment. A short course can help you explore a topic; a longer program may offer more structure and practice.

Should I choose a live, self-paced, or in-person course?

Live classes provide scheduled instruction and opportunities to ask questions. Self-paced courses give you more control over when you study, but check what support and deadlines are included. For in-person options, factor in travel as well as class and practice time.

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Entry requirements vary. Read the prerequisites and look for required software, technical skills, or an admissions assessment. If you are new to the subject, try an introductory lesson and ask the provider how it supports beginners before committing.

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A course can help you build skills and projects, but completing it does not guarantee a job. Compare the curriculum with the roles you want, read alumni reviews, and ask what career support and outcomes data the provider shares.

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