Spark Courses

The Data Engineer Bootcamp at Digital Skola is a 3-week, part-time online program designed for aspiring data professionals. It focuses on building and managing scalable data infrastructures through live, interactive sessions. Students learn database management, cloud platforms, and big data technologies using Python and Java, engaging in project-based learning that culminates in a capstone project. The bootcamp includes mentorship and career support, making it ideal for beginners and career switchers. Before You Learn / Who This Course Is For Ideal for beginners or career switchers Open to technical and non-technical backgrounds No prerequisites required, flexible payment options What to Expect Live, interactive online sessions Hands-on, project-based learning Capstone project to design real-world data pipelines What You'll Achieve Skills in database management and cloud platforms Expertise in big data technologies Career support with portfolio and interview preparation

Learnbay's Data Science and GenAI Program offers a comprehensive learning experience for both tech and non-tech individuals. Delivered through a flexible, three-year online subscription, it emphasizes practical training with live industrial projects. Participants will gain essential skills for entry to mid-level data scientist roles, supported by IBM certification and career assistance, including mock interviews and interview opportunities with top companies. Before You Learn / Who This Course Is For Suitable for tech and non-tech backgrounds Ideal for aspiring data scientists No prerequisites required What to Expect Flexible three-year online learning subscription 30+ live industrial projects for hands-on experience Includes mock interviews and career guidance What You'll Achieve IBM certification upon completion Skills for entry to mid-level data scientist roles Guaranteed interview calls from hiring partners

Desafío Latam's Data Science program is an intensive, 31-week course designed to equip participants with skills in data analysis. Delivered through 186 hours of in-person classes, the curriculum covers Python programming, data science fundamentals, machine learning, SQL, and big data. Students engage in a hands-on approach, completing online work and projects to solidify their learning. Before You Learn / Who This Course Is For Open to aspiring data scientists and analysts Ideal for those seeking a comprehensive data skillset Basic programming knowledge recommended but not required What to Expect In-person classes complemented by online assignments Hands-on projects across six comprehensive modules Focus on practical data science and machine learning skills What You'll Achieve Completion of a Data Science project Proficiency in Python, SQL, and machine learning Skills applicable to data-driven decision making

Moringa School's Android Development course is a practical, engaging program designed for aspiring Android developers. Delivered online, it focuses on designing, building, and maintaining value-driven apps. Through hands-on projects, students tackle real-world problems, preparing them for a career in Android development. The course offers an immersive experience in smartphone app programming, aligning with the industry's growing demand for skilled developers. Before You Learn / Who This Course Is For Ideal for aspiring Android developers Open to individuals with a passion for app development No prerequisites required What to Expect Online, project-based learning format Hands-on practice with real-world company problems Focus on designing and maintaining Android apps What You'll Achieve Proficiency in Android app development Career readiness in Android programming

Le Wagon’s Data Engineering Bootcamp is a two-month, intensive online program designed to equip learners with the skills to design and build scalable data pipelines. Participants will master essential tools such as Python, CI/CD, Airflow, and big data frameworks. The course combines theoretical knowledge with hands-on projects, making it ideal for professionals aiming to enhance their data engineering capabilities. Before You Learn / Who This Course Is For Ideal for software engineers and data scientists Open to analytics professionals seeking data engineering skills No specific prerequisites mentioned What to Expect Two-month online intensive format Hands-on projects using Python and Airflow Focus on modern cloud technologies What You'll Achieve Proficiency in building scalable data pipelines Skills in CI/CD and big data frameworks

The Bridge's online Data Science Bootcamp offers a comprehensive exploration of data handling, machine learning, and deep learning. Through self-paced study, learners will gain skills in Python programming, data visualization, and business data science applications. The course emphasizes practical, project-based learning to ensure participants can apply new knowledge effectively in real-world scenarios. Before You Learn / Who This Course Is For Designed for aspiring data scientists and analysts Ideal for business professionals seeking data skills No prerequisites required What to Expect Self-paced online learning format Project-based tasks with real-world data sets Focus on Python, machine learning, and visualization What You'll Achieve Develop strong data analysis and visualization skills Gain practical experience with machine learning techniques

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

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

The Applied AI Practitioner Program offers comprehensive training for aspiring Artificial Intelligence Specialists. Delivered online, this flexible course spans various AI topics, including reasoning, generative AI, and intelligent automation. Learners gain hands-on experience with 16+ tools and complete real-world projects. Upon graduation, participants receive certifications from IBM and IIT Patna, enhancing their career prospects. Before You Learn / Who This Course Is For Ideal for aspiring AI Specialists Suitable for technical and non-technical learners No specific prerequisites required What to Expect Flexible online learning with batch switching Hands-on training with tools like ChatGPT 4 Incorporates real-time industrial projects What You'll Achieve Certifications from IBM and IIT Patna Expertise in AI tools and techniques Career support with guaranteed interview calls

RMOTR's Data Science with Python course is a comprehensive three-month program, delivered online, featuring live classes twice a week and unlimited mentorship. It focuses on using Python for automation and data analysis, covering popular tools like Pandas and Matplotlib. The course emphasizes practical skills, including version control, test-driven development, and code reviews, all guided by experienced instructors. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites; suitable for beginners Open to both technical and non-technical backgrounds What to Expect Live classes twice weekly with real instructors Hands-on projects using tools like Pandas and Matplotlib Focus on test-driven development and code reviews What You'll Achieve Gain proficiency in Python for data tasks Develop skills in popular data analysis libraries Apply knowledge in real-world scenarios