Find top Data analytics tutors - learn Data analytics today

Find top Data analytics tutors - learn Data analytics today

Master Data analytics from our Data analytics tutors, mentors, and teachers who will personalize a study plan to help you refine your Data analytics skills. Find the perfect Data analytics tutor now.

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Learn Data analytics from 200+ Data analytics tutors

  • Learn Data analytics with Data analytics tutors - Gopal Chitalia

    Gopal Chitalia

    Data analytics tutor

    US$20.00 /15 min
    82 reviews

    I am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks. I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech). In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**. My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0). Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.

  • Learn Data analytics with Data analytics tutors - Jason Davey

    Jason Davey

    Data analytics tutor

    US$30.00 /15 minfirst 15 mins free badge
    28 reviews

    Hello! I have over 15 years of programming experience, and graduated with a first-class degree in computer science from a well-known university in the UK. I have worked in several sectors, including as a backend / data engineer for a large online retailer, as a full-stack developer of web and mobile apps, and as a video game developer. I currently provide freelance software development and consulting services to startups, helping them to get their ideas off the ground, and to build a solid technical foundation for their business. I also love teaching and mentoring, and have worked with several up-and-coming engineers to help them along their path in the industry, as well as producing educational / instructional content. Whether you're an entrepreneur with plans to build something great, or a student hoping to kick-start their career, I look forward to working with you!

  • Learn Data analytics with Data analytics tutors - Syed Rehan Ali

    Syed Rehan Ali

    Data analytics tutor

    US$40.00 /15 min
    199 reviews

    I am a **business intelligence consultant and coach** with over 20 years of experience in managing operations and implementing projects in numerous industries. ➡️ CERTIFICATIONS: ♦ Microsoft Certified: Power BI Data Analyst ♦ Project Management Professional ♦ Six Sigma Green Belt ♦ Scrum Master ♦ Scrum Product Owner ➡️ EXPERT IN: ♦ Integrate and Prepare the data ♦ Model the data ♦ Visualize and analyze the data ♦ Deploy and maintain assets ♦ Secure and distribute **TOOLS** *- Business Intelligence* *- Project Management (Waterfall & Agile)* *- Lean Six Sigma* *- Microsoft Excel,* *- Power BI Desktop,* *- Power BI Service,* *- Power-Query,* *- Power BI Report Server,* *- R Script and Rstudio* *- RapidMiner* *- SQL Server connection,* *- Data connection* *- DAX for Big data,* *- Data mining,* *- Connection and extraction from Google, clean-up and organization, analysis, visualization, automation and management dashboard designs.* **SOME POWER BI Samples:** https://links.edds.com.pk/powerbi-samples **MY POWER BI Blog Posts:** https://www.edds.com.pk/category/blog/bi/microsoft-power-bi/ **LONG TERM ENGAGEMENT TERMS** - Please see here: https://1drv.ms/b/s!AkmOjWjLHddxhKVBJj0rfUcTPGZ2gw?e=11z3SG

  • Learn Data analytics with Data analytics tutors - Erum Mehmood

    Erum Mehmood

    Data analytics tutor

    US$20.00 /15 minfirst 15 mins free badge
    26 reviews

    Embark on a transformative coding journey with me, a visionary computer science expert and a passionate mentor, bringing over two decades of rich expertise in the dynamic realms of programming, data science, and software architecture. My technical skills span across a broad spectrum, including mastery in programming languages like Python, Java, C++, C, and Scala, along with a profound understanding of algorithms, data structures, and the complex art of software design. My research interests include big data analysis, semi-stream join algorithms, and real-time data warehousing. As a mentor, I've illuminated the path for students globally, from prestigious universities in the USA, Australia, Canada, and the UK, in a vast array of subjects from Big Data Analytics to Cyber Security, and advanced programming languages. Currently, I am a lecturer of Computer Science at a Higher Education Institute. My academic prowess is underscored by a **PhD** in Computer Science, with my doctoral thesis titled: "Integrated Real-Time Distributed Stream-Disk Processing Architecture for Unstructured Big Data". Join me on codementor, where together, we'll navigate the intricacies of technology, unleashing the potential to innovate, solve real-world problems, and excel in your programming career.

  • Learn Data analytics with Data analytics tutors - Samuel Momoh

    Samuel Momoh

    Data analytics tutor

    US$15.00 /15 min
    10 reviews

    I'm an experienced React Native developer with five years in the field, specializing in creating cross-platform mobile applications. Alongside my frontend expertise, I have strong experience as a backend engineer and MERN stack developer, allowing me to work across the full stack. I also bring DevOps experience, including Kubernetes orchestration and deployments on platforms like AWS, Digital Ocean, Google cloud and Azure. My journey has involved collaborating on diverse projects, staying updated on industry trends, and contributing to both frontend and backend development. Looking forward, I aspire to contribute to innovative projects, leveraging my full-stack and DevOps expertise to create seamless, scalable, and user-centric solutions.

  • Learn Data analytics with Data analytics tutors - Surya Kant Tyagi

    Surya Kant Tyagi

    Data analytics tutor

    US$10.00 /15 minfirst 15 mins free badge
    3 reviews

    I am Surya Kant Tyagi, holds a Master in Technology degree in Computer Science. I am a consistent learner and enjoy sharing my learning with others. My professional interests are in data science, I analyse the data and find out insights from it. I use R, Python and Java as the primary languages. I have gained more than 10 years of experience including development, analyst and mentorship. During my free time, I love to develop mobile games and enjoy doing digital art.

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How to find Data analytics tutors on Codementor

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Frequently asked questions

How to learn Data analytics?

Learning Data analytics effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:

  • Understand the basics: Start with the fundamentals of Data analytics. You can find free courses and tutorials online that cater specifically to beginners. These resources make it easy for you to grasp the core concepts and basic syntax of Data analytics, laying a solid foundation for further growth.
  • Practice regularly: Hands-on practice is crucial. Work on small projects or coding exercises that challenge you to apply what you've learned. This practical experience strengthens your knowledge and builds your coding skills.
  • Seek expert guidance: Connect with experienced Data analytics tutors on Codementor for one-on-one mentorship. Our mentors offer personalized support, helping you troubleshoot problems, review your code, and navigate more complex topics as your skills develop.
  • Join online communities: Engage with other learners and professionals in Data analytics through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
  • Build real-world projects: Apply your Data analytics skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Data analytics in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
  • Stay updated: Since Data analytics is continually evolving, staying informed about the latest developments and advanced features is essential. Follow relevant blogs, subscribe to newsletters, and participate in workshops to keep your skills up-to-date and relevant.

How long does it take to learn Data analytics?

The time it takes to learn Data analytics depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:

  • Beginner level: If you are starting from scratch, getting comfortable with the basics of Data analytics typically takes about 3 to 6 months. During this period, you'll learn the fundamental concepts and begin applying them in simple projects.
  • Intermediate level: Advancing to an intermediate level can take an additional 6 to 12 months. At this stage, you should be working on more complex projects and deepening your understanding of Data analytics’s more advanced features and best practices.
  • Advanced level: Achieving proficiency or an advanced level of skill in Data analytics generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Data analytics, contributing to major projects, and possibly specializing in specific areas within Data analytics.
  • Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Data analytics. Engaging with new developments, tools, and methodologies in Data analytics is a continuous process throughout your career.

Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.

How much does it cost to find a Data analytics tutor on Codementor?

The cost of finding a Data analytics tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:

  • Tutor experience: Tutors with extensive experience or high demand skills in Data analytics typically charge higher rates. Conversely, emerging professionals might offer more affordable pricing.
  • Pro plans: Codementor also offers subscription plans that provide full access to all mentors and include features like automated mentor matching, which can be a cost-effective option for regular, ongoing support.
  • Project-based pricing: If you have a specific project, mentors may offer a flat rate for the complete task instead of an hourly charge. This range can vary widely depending on the project's scope and complexity.

To find the best rate, browse through our Data analytics tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.

What are the benefits of learning Data analytics with a dedicated tutor?

Learning Data analytics with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:

  • Personalized learning: A dedicated tutor adapts the learning experience to your specific needs, skills, and goals. This personalization ensures that you are not just learning Data analytics, but exceling in a way that directly aligns with your objectives.
  • Immediate feedback and assistance: Unlike self-paced online courses, a dedicated tutor provides instant feedback on your code, concepts, and practices. This immediate response helps eliminate misunderstandings and sharpens your skills in real-time, making the learning process more efficient.
  • Motivation and accountability: Regular sessions with a tutor keep you motivated and accountable. Learning Data analytics can be challenging, and having a dedicated mentor ensures you stay on track and continue making progress towards your learning goals.
  • Access to expert insights: Dedicated tutors often bring years of experience and industry knowledge. They can provide insights into best practices, current trends, and professional advice that are invaluable for both learning and career development.
  • Career guidance: Tutors can also offer guidance on how to apply Data analytics in professional settings, assist in building a relevant portfolio, and advise on career opportunities, which is particularly beneficial if you plan to transition into a new role or industry.

By leveraging these benefits, you can significantly improve your competency in Data analytics in a structured, supportive, and effective environment.

How does personalized Data analytics mentoring differ from traditional classroom learning?

Personalized Data analytics mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:

  • Customized content: Personalized mentoring adapts the learning material and pace specifically to your needs and skill level. This means the sessions can focus on areas where you need the most help or interest, unlike classroom settings which follow a fixed curriculum for all students.
  • One-on-one attention: With personalized mentoring, you receive the undivided attention of the tutor. This allows for immediate feedback and detailed explanations, ensuring that no questions are left unanswered, and concepts are fully understood.
  • Flexible scheduling: Personalized mentoring is arranged around your schedule, providing the flexibility to learn at times that are most convenient for you. This is often not possible in traditional classroom settings, which operate on a fixed schedule.
  • Pace of learning: In personalized mentoring, the pace can be adjusted according to how quickly or slowly you grasp new concepts. This custom pacing can significantly enhance the learning experience, as opposed to a classroom environment where the pace is set and may not align with every student’s learning speed.
  • Practical, hands-on learning: Mentors can provide more practical, hands-on learning experiences tailored to real-world applications. This direct application of skills is often more limited in classroom settings due to the general nature of the curriculum and the number of students involved.

Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering Data analytics.

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