Data Science Courses

The 16-hour Data Science Bootcamp is designed for complete beginners to master Python. Available online and in-person, this course provides foundational skills through hands-on projects and expert instruction. Students will learn Python essentials crucial for data analysis and problem-solving in a variety of settings. Before You Learn / Who This Course Is For Complete beginners with no prior experience Ideal for aspiring data analysts and scientists No prerequisites required What to Expect Available online and in-person Hands-on projects and practical exercises Expert-led instruction for real-world skills What You'll Achieve Mastery of Python for data science tasks Foundational skills for data analysis Preparation for entry-level data roles

The Data Analytics Bootcamp at Immune Institute is a comprehensive, 22-week online program designed to transform beginners into proficient data analysts. It covers essential skills like Python programming, data visualization, and machine learning using real-world tools such as Pandas, SQL, and Power BI. The course includes hands-on projects and prepares participants for international certifications, providing career support and access to a professional network. Before You Learn / Who This Course Is For Beginners with no prior data experience Aspiring data analysts seeking comprehensive training No prerequisites; open to all enthusiastic learners What to Expect 22-week online, practical-focused program Hands-on projects with real-world tools Preparation for international certifications What You'll Achieve Eligibility for Azure DP-900 and AWS Data Analytics certifications Proficiency in Python, SQL, and Power BI Capstone project demonstrating data analytics skills

The 28-week Data Science and Analytics Bootcamp offers a comprehensive online learning experience. Students will gain proficiency in data analysis and visualization using Excel and Power BI. The curriculum includes Azure HDInsight, Spark, Transact-SQL, machine learning, R programming, Python, and predictive analysis. It also emphasizes analytics storytelling, ethics, and essential math for machine learning. The program concludes with personalized bonus tracks to tailor the learning experience. Before You Learn / Who This Course Is For Open to aspiring data scientists and analysts No prerequisites required; suitable for beginners Ideal for career switchers seeking data skills What to Expect 28-week online bootcamp with structured curriculum Hands-on practice with Excel, Power BI, and Python Choose personalized bonus tracks for focused learning What You'll Achieve Proficiency in data analysis and visualization tools Skills in machine learning and predictive analysis Ability to manage cloud resources with Azure HDInsight

Pluralsight's Data Science Fundamentals course is a self-paced, online program designed to introduce learners to essential data science concepts. Participants will explore tools such as Python and R, engaging in project-based activities to build practical skills. This course is ideal for those seeking foundational knowledge in data science, delivered through interactive content and real-world applications. Before You Learn / Who This Course Is For Open to beginners and non-technical learners Ideal for aspiring data scientists No prerequisites required What to Expect Self-paced online learning format Hands-on projects using Python and R Interactive exercises and real-world applications What You'll Achieve Certificate of completion from Pluralsight Basic data science skills and tool proficiency

Immune Institute's 11-month Master in Cloud Computing equips learners with practical skills in cloud architecture, DevOps, SRE, and more. Delivered online, the program includes hands-on projects and personalized mentorship. Students gain expertise in building sustainable digital infrastructures and prepare for AWS certifications, enhancing their professional marketability. Before You Learn / Who This Course Is For Ideal for aspiring cloud professionals and tech enthusiasts Suitable for both technical and non-technical backgrounds No specific prerequisites required What to Expect 11-month online program with hands-on projects Focus on cloud architectures, DevOps, and cost optimization Personalized mentorship and professional support What You'll Achieve Preparation for AWS certifications Proficiency in building digital infrastructures Enhanced profile for the tech job market

The Eric & Wendy Schmidt Data Science for Social Good Fellowship is a summer program at the University of Chicago, focusing on data science projects with social impact. Over three months, fellows collaborate with governments and nonprofits on real-world issues, enhancing skills in data mining, machine learning, and big data. Participants work in teams, supported by mentors from academia and industry, to address challenges in sectors like health, education, and transportation. Before You Learn / Who This Course Is For Graduate and undergraduate students in quantitative fields Open to aspiring data scientists worldwide Ideal for those interested in social impact projects What to Expect Three-month program in Chicago Hands-on projects with nonprofits and government Mentorship from industry and academic experts What You'll Achieve Enhanced skills in data analytics and machine learning Experience in high-impact social projects Collaboration experience with diverse teams

Cambridge Spark offers an Applied Data Science program that combines professional development with career support. This self-paced, online course equips learners with practical data science skills through project-based learning. Participants gain access to a network of hiring companies, enhancing their career prospects in the data science field. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required for enrollment Suitable for both technical and non-technical backgrounds What to Expect Self-paced online format with flexible scheduling Project-based learning for practical skill application Access to a network of hiring companies What You'll Achieve Comprehensive data science skill set Enhanced career opportunities through network introductions

Coursera Plus is an extensive online subscription service offering unlimited access to over 10,000 courses, projects, and programs across multiple disciplines such as data science, business, and health. Learners can explore a wide range of subjects through self-paced formats, gaining skills at their convenience. Exclusions apply to certain specializations and professional certificates, but the majority of content is included, enabling flexible learning tailored to individual goals. Before You Learn / Who This Course Is For Open to learners from all backgrounds Ideal for self-motivated individuals seeking diverse skills No specific prerequisites required What to Expect Self-paced learning with flexible scheduling Access to over 10,000 courses and projects Excludes certain specializations and certificates What You'll Achieve Gain skills across various fields, from tech to humanities Enhance career prospects with diverse knowledge

Fireblaze AI School offers a Data Science and Machine Learning Specialization Program, providing over 70 hours of interactive online learning. This bootcamp covers essential skills like Python, Numpy, and Pandas, focusing on data wrangling, SQL, and machine learning. Students engage in hands-on projects and industry-based use cases, exploring both supervised and unsupervised learning techniques, alongside descriptive and predictive statistics. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and machine learning engineers Technical background beneficial but not required English proficiency recommended What to Expect 70+ hours of interactive online learning Hands-on projects and industry-based use cases Covers Python, Numpy, Pandas, SQL, and Tableau What You'll Achieve Master data wrangling and machine learning techniques Gain skills in Python programming and data visualization

Ironhack's Data Science and Machine Learning course is an online, self-paced program designed for aspiring data professionals. It focuses on tapping into data insights, predicting trends, and building AI models. The course offers practical learning through hands-on projects, preparing students for roles such as Junior Data Scientist, ML Engineer, or NLP Engineer. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and engineers Open to both technical and non-technical backgrounds No specific prerequisites required What to Expect Self-paced online learning format Hands-on projects in AI and data prediction Explore specializations like NLP and Computer Vision What You'll Achieve Skills in AI model building and data analysis Preparation for roles like ML Engineer, NLP Engineer