Pandas Courses

Turing College's Data Analytics course offers a flexible, self-paced online format designed for career advancement. Participants will master tools like Excel, SQL, Tableau, and Python through 20 hands-on projects. The course focuses on essential analysis techniques such as retention and cohort analysis, A/B testing, and customer segmentation. Students can also specialize in areas like product, marketing, financial, or risk analytics, with guidance from industry mentors. Before You Learn / Who This Course Is For Open to aspiring data analysts and career switchers Ideal for professionals seeking data-driven roles No prerequisites; suitable for all experience levels What to Expect Self-paced learning with flexible scheduling 20 projects reviewed by industry mentors and peers Specializations in product, marketing, or financial analytics What You'll Achieve Build a portfolio showcasing analytics skills Master tools like Excel, SQL, and Python Gain expertise in key data analysis techniques

Turing College's Data Science Bootcamp is a self-paced, online program designed for individuals aiming to enter or advance in data science without prior coding experience. The course begins with Python fundamentals and progresses to advanced machine learning topics, involving up to 15 hands-on projects. Students receive expert mentor feedback and can specialize in AI fields like computer vision and natural language processing, ensuring practical, career-ready skills. Before You Learn / Who This Course Is For Open to beginners and advanced learners Ideal for aspiring data scientists No coding experience required What to Expect Self-paced, flexible online learning Up to 15 hands-on projects with mentor feedback Specialize in computer vision or NLP What You'll Achieve Build a practical data science portfolio Gain AI skills applicable in real-world scenarios

The Data Analyst Bootcamp is an intensive, online program designed to equip students with essential data analysis skills. Participants will learn through self-paced modules covering topics such as Python, statistics, SQL, and machine learning. This hands-on course emphasizes practical application, enabling learners to effectively transition into data analysis roles. Before You Learn / Who This Course Is For Aspiring data analysts and professionals seeking career transition No prerequisites; open to all educational backgrounds Ideal for learners eager to gain practical data skills What to Expect Self-paced, fully online format Hands-on projects and practical exercises Modules on Python, SQL, machine learning, and more What You'll Achieve Comprehensive data analysis skills applicable to various industries Proficiency in tools like Python and SQL

Data-Flair’s Hadoop and Spark Developer Course offers in-depth theoretical knowledge combined with practical skills through real-time project implementations. This online course is designed for learners seeking to master Hadoop and Spark frameworks, providing comprehensive insights into big data processing and analytics through hands-on experiences. Before You Learn / Who This Course Is For Designed for aspiring data engineers and developers Ideal for individuals with basic programming knowledge No prior big data experience required What to Expect Self-paced online format for flexible learning Hands-on projects with real-time data sets In-depth exploration of Hadoop and Spark tools What You'll Achieve Gain proficiency in Hadoop and Spark frameworks Develop practical big data processing skills Prepare for data engineering roles

The Machine Learning & AI Bootcamp is an online program from Springboard, developed with the University of Arizona Continuing and Professional Education, covering foundations in machine learning and deep learning. Learners study curated content and apply it through real-world-style projects, including a two-phase capstone in which they design, prototype and deploy a machine or deep learning system accessible via API or web service. Support includes 1:1 video calls with an industry mentor, advisors for accountability and time management, optional career coaching, and an online peer community. Who This Course is For Learners proficient in object-oriented programming in Python, Java or JavaScript Software engineers, data scientists, or graduates in computer science, physics, statistics or similar fields Technically savvy self-taught programmers; a technical skills survey determines the starting point What to Expect Regular 1:1 video calls with a mentor who reviews projects and offers industry insight Optional Python Foundations units for learners who do not clear the skills survey Two-phase capstone: design, prototype and deploy an ML/deep learning application What You'll Achieve Certificate of completion backed by University of Arizona Continuing and Professional Education Optional 1:1 career coaching for job search strategy and interview preparation

This Data Analytics Certification Course from TechVidvan covers data analytics with Python, AI, machine learning, generative AI, Power BI, SQL, and advanced Excel. It is offered both online and in an offline classroom format at Geeta Bhawan, Indore. Instruction is led by industry professionals and follows an industry-aligned curriculum that includes live projects, with the aim of preparing learners for data analytics roles. Who This Course is For College students preparing for data analytics careers Working professionals aiming for roles at large multinational companies No prerequisites are specified in the course information What to Expect Choice of online or in-person classroom sessions in Indore Instruction from industry professionals using an industry-aligned curriculum Live projects applying Python, SQL, Power BI, and Excel What You'll Achieve Working skills in Python, SQL, Power BI, and advanced Excel Exposure to AI, machine learning, and generative AI concepts Preparation for job applications in data analytics

Upgrade Hub's Data & AI program is an immersive, live online bootcamp designed to equip professionals with comprehensive skills in data analytics and artificial intelligence. Throughout the course, learners will explore ETL processes, Business Intelligence, and develop interactive applications. The curriculum includes hands-on modules using Power BI, Microsoft Fabric, and SQL with Azure, emphasizing real-world applications such as RAG (Retrieval-Augmented Generation) and process automation. This project-based approach ensures participants are prepared to lead data-driven projects in innovative environments. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and AI professionals Open to both technical and non-technical backgrounds No specific prerequisites required What to Expect Live online instruction with interactive sessions Hands-on projects with end-to-end deliverables Focus on modern data and AI tools What You'll Achieve Master ETL processes and advanced data manipulation Design data apps and dashboards using Power BI Gain advanced machine learning and automation skills

Great Learning’s Data Analytics & Power BI Bootcamp is a 12‑week online program that builds core analytics skills and prepares learners for the Microsoft PL‑300 Power BI Data Analyst certification. Participants invest about 14–16 hours per week in instructor‑led labs, project‑based work and live mentoring. The curriculum covers data analytics foundations, SQL and Python for data analysis, and Power BI essentials such as data modeling, visualization, DAX calculations, report deployment, and administration. Learners complete four hands‑on projects, weekly coding labs and case studies. The bootcamp includes a dedicated program manager, career support services, a certificate of completion and a free exam voucher. Before You Learn Suitable for tech professionals or career‑changers seeking business‑intelligence skills Myst have access to a computer and stable internet Ideal for early‑career analysts, data enthusiasts and professionals preparing for the PL‑300 Microsoft Power BI Data Analyst exam No formal prerequisites, though basic data literacy helps What to Expect Structured curriculum spanning data analytics foundations, SQL, Python, and Power BI modules Weekly live mentorship sessions, 12 coding labs and four industry projects to apply analytics workflows Modules on the analytics lifecycle, SQL queries, data manipulation with NumPy and Pandas, exploratory data analysis, and the full Power BI stack (data connections, visualizations, DAX, report deployment, administration) Master industry‑relevant tools: Power BI, Python, SQL, Excel, NumPy, Pandas Career support including interview prep, résumé/LinkedIn review and creation of an e‑portfolio What You’ll Achieve Readiness for the PL‑300 certification exam Certificate of completion from Great Learning