Data Science Courses

The Merit America Data Analytics Bootcamp is a 16-week online program designed to equip learners with essential skills for entry-level data analytics roles. Participants will explore data types, structures, visualization techniques, and R programming through hands-on projects. The course culminates in a capstone project, ensuring practical application of skills learned throughout the program. Before You Learn / Who This Course Is For Ideal for aspiring data analysts Open to learners with no prior experience Suitable for career changers and newcomers What to Expect 16-week online, self-paced format Hands-on projects and data capstone Focus on R programming and data visualization What You'll Achieve Gain skills for entry-level data analytics roles Complete a capstone project in data analysis

Hofstra's 28-week Data Science & Analytics Bootcamp provides comprehensive hands-on training in essential data skills. This non-credit course covers data visualization, predictive analytics, and coding with Power BI and APIs. Learners will gain expertise in Excel and Transact-SQL while mastering mathematical concepts for data analysis. The bootcamp emphasizes practical applications and effective data communication, preparing students to safeguard against hacking and perform advanced data manipulations. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required; open to all backgrounds Perfect for individuals seeking hands-on data skills What to Expect Online, self-paced learning over 28 weeks Practical training in Excel, Power BI, and Transact-SQL Focus on data visualization and predictive analytics What You'll Achieve Mastery of data visualization and analytics techniques Ability to communicate organizational data effectively

The Data Science & Analytics Bootcamp is a 28-week, non-credit course offering hands-on training in data visualization, predictive analytics, and coding skills. Delivered online, it covers tools like Power BI, Excel, and Transact-SQL, along with essential mathematical concepts. Students learn to communicate data effectively and protect against online threats using Microsoft Power BI and developer APIs. Before You Learn / Who This Course Is For Open to aspiring data analysts and professionals Ideal for those seeking hands-on data skills No prerequisites required What to Expect 28-week online, self-paced bootcamp Hands-on practice with Power BI and Excel Focus on data visualization and predictive analytics What You'll Achieve Master data visualization and predictive analytics tools Develop skills in coding and data protection

Zindua's Data Science program offers a comprehensive live online experience in data science and machine learning. Participants explore Python programming, data analysis, and deep learning foundations through hands-on projects. The curriculum includes tools like Numpy, Pandas, and Matplotlib, along with practical skills in SQL, Excel, and Tableau. Ideal for aspiring data scientists and machine learning engineers, this course provides a robust understanding of regression, classification, and more. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and engineers Math & Statistics background recommended STEM degree enrollment or completion beneficial What to Expect Live online instruction with hands-on projects Learn Python, Numpy, Pandas, and more Explore machine learning techniques and model evaluation What You'll Achieve Gain proficiency in data science tools and techniques Develop skills in data analysis and visualization

Techlent offers a flexible, online course focusing on natural language processing, computer vision, machine learning engineering, and marketing analytics. The course combines real-time teaching with self-paced learning, tailored to align with each student's background and career goals. Students benefit from 1-on-1 mentorship with experienced professionals, ensuring a highly interactive learning experience. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts Open to both technical and non-technical backgrounds No strict prerequisites; background knowledge is beneficial What to Expect Combination of live teaching and self-paced modules 1-on-1 mentorship with industry professionals Weekly study materials and assignments provided What You'll Achieve Develop skills in NLP, computer vision, and machine learning Receive personalized guidance towards career goals

The Data Scientist course by the Data Science Institute is designed to equip students with essential skills for a career in data science. Delivered online in a self-paced format, the course covers key topics such as data analysis, machine learning, and statistical modeling. Through project-based learning, participants gain practical experience with tools like Python and R, preparing them for real-world applications. Before You Learn / Who This Course Is For Aspiring data scientists and analysts Suitable for technical and non-technical backgrounds No prerequisites required What to Expect Self-paced online learning with flexible scheduling Hands-on projects using Python and R Project-based learning for practical experience What You'll Achieve Certificate of completion from Data Science Institute Proficiency in data analysis and machine learning Skills applicable to real-world data challenges

DataExpert's Data and Analytics Engineering Bootcamp is an online, self-paced course designed to equip learners with essential skills in Iceberg, Airflow, Spark, and SQL. Through project-based learning, participants engage in hands-on activities to master data engineering tools and techniques. The course offers expert-led content and practical exercises to enhance job-ready competencies in data management and analysis. Before You Learn / Who This Course Is For Ideal for aspiring data engineers and analysts No prerequisites required; beginners welcome Suitable for both technical and non-technical learners What to Expect Self-paced online learning with flexible scheduling Hands-on projects using Iceberg, Airflow, Spark, and SQL Interactive modules with real-world data scenarios What You'll Achieve Gain proficiency in key data engineering tools Acquire skills applicable to data-driven roles

Udacity's Data Visualization Nanodegree is an online, self-paced program focused on data storytelling and visualization. Students will learn to create effective dashboards using Tableau, select suitable visualizations, and present data-driven insights. The course includes hands-on projects that teach students to analyze data, identify key metrics, and communicate recommendations effectively. Before You Learn / Who This Course Is For Ideal for analysts, data scientists, and business professionals No prerequisites; suitable for all skill levels Designed for those interested in data storytelling What to Expect Self-paced, flexible online learning format Hands-on projects using Tableau for dashboard design Focus on data storytelling and visualization techniques What You'll Achieve Certification of completion from Udacity Skills in creating interactive data dashboards Ability to communicate data insights effectively

The Immersive AI Engineering Bootcamp by HyperionDev is an online, comprehensive program designed to equip learners with essential AI skills. Participants delve into machine learning, deep learning, and natural language processing, using tools like TensorFlow and PyTorch. The bootcamp combines theoretical knowledge with hands-on projects, preparing students for AI roles across various industries, including healthcare and finance. Before You Learn / Who This Course Is For Designed for aspiring AI engineers Ideal for those seeking hands-on AI experience No specific prerequisites required What to Expect Online, immersive learning experience Hands-on projects using TensorFlow and PyTorch Focus on ethical AI implications What You'll Achieve Comprehensive AI engineering skills Preparation for AI roles in diverse industries Assistance with career advancement

This intensive data analysis course offers a comprehensive 13-week program covering data types, structures, and lifecycles. Participants will engage in over 260 hours of in-class training, focusing on practical skills in Python, pandas, NumPy, and SQL. Designed for those with intermediate Python knowledge, the course includes hands-on projects and mentoring, preparing learners for roles like Business Intelligence Analyst and Data Consultant. Before You Learn / Who This Course Is For Intermediate Python knowledge required Ideal for aspiring data analysts and consultants Familiarity with Linux, Git, and SQL basics What to Expect 13-week intensive, in-person format 260+ hours of training, 60+ hours mentoring Hands-on projects and capstone projects What You'll Achieve Solid foundation in data analysis and visualization Skills applicable to roles like Data Analyst Career management support until first hiring