Data Analytics Roadmap - Become a data analyst in 2024

Do you feel like you’re drowning in data? If you do, it’s of utmost importance to learn how to swim and navigate through this vast space. Today, data is the most expensive product that you can find online. Every time you accept cookies on a website, you’ve given the internet a small portion of yourself that will be used to train and enhance already-existing but also future analytical and AI systems.

“My data is useless,” you’ll say, “Who wants to learn about my coffee maker preferences, Nespresso or Dolce Gusto, nobody cares.”

Your personal data may not matter to an individual entity within some data organization. After all, you’re just a row or a JSON entry in some super-large database, lake or a warehouse. But that one row can be a deciding factor for the performance of an artificial intelligence system.

Do you feel confused by all these terms but want to get into it?

Great! Because I created a detailed and comprehensive data analysis roadmap with all the tools and resources you can learn to kickstart your career in data.

Whether you are a beginner who needs a direction to find a job or data, or start your own data consulting agency, this roadmap will guide you along the path to mastery of this innovative field.

Who Needs This Roadmap?

Whether you really need this roadmap or not is completely up to you, but if you recognize yourself in these points, you should consider getting this data analyst roadmap:

·         Aspiring Data Analysts: Individuals looking to embark on a career in data analysis can benefit from a roadmap to guide them through the necessary steps and skills development.

·         Junior Data Analysts: Junior data analysts seeking to advance their career and acquire more advanced skills can use the roadmap to identify areas for improvement and growth.

·         Career Switchers: Professionals from other fields who wish to transition into data analysis can follow the roadmap to gain the required knowledge and skills.

·         Students and Recent Graduates: Students pursuing degrees in data-related fields and recent graduates looking to enter the job market can use the roadmap to plan their educational and career paths.

·         Self-Learners: Individuals who prefer self-paced learning and want to become proficient in data analysis can follow the roadmap to structure their learning journey.

·         Managers and Supervisors: Managers and team leaders who oversee data analysts can use the roadmap to better understand the skill sets and competencies required for their team members.

·         Data Science Enthusiasts: Those interested in data science and analysis as a hobby or personal interest can use the roadmap to systematically develop their skills.

·         Educational Institutions: Colleges and universities can use the roadmap as a guideline to design curriculum and courses for data analysis programs.

·         Employers: Employers seeking to hire data analysts can refer to the roadmap to assess candidates' qualifications and determine their fit for specific roles.

·         Career Counselors: Career advisors and counselors can use the roadmap to provide guidance and recommendations to students and job seekers interested in data analysis careers.

·         Skill Assessment: Individuals looking to assess their current data analysis skills can use the roadmap as a benchmark to identify areas that need improvement.

·         Continuous Learners: Seasoned data analysts who want to stay up-to-date with the latest trends, tools, and techniques in the field can use the roadmap as a reference for ongoing learning and professional development.

Who Doesn’t Need This Roadmap?

·         Already an Expert: If you are already an experienced and proficient data analyst with a deep understanding of the field, you may find the roadmap too basic and not aligned with your advanced skillset.

·         Different Career Goals: If your career aspirations do not involve data analysis or if you are pursuing a completely different career path, the roadmap may not be relevant to your goals.

·         Lack of Interest: If you have no interest or passion for data analysis and consider it unappealing, investing time in following the roadmap may not align with your personal interests.

·         Limited Time Commitment: If you have very limited time to spare for skill development due to other commitments, such as a demanding job or family responsibilities, following the roadmap may not be feasible.

When you buy this roadmap - you'll get access to a PDF file that contains the link to the roadmap. The roadmap is hosted online and it will consistently get updated with new project ideas, new cheat sheets, tips, tricks, and much more. That way, whoever buys this roadmap will get a LIFELONG ACCESS to it!

What Do You Get in This Roadmap?

In this roadmap you'll get:

• Guidance for Excel, from beginner to expert
• A comprehensive roadmap for data visualization: Power BI and Tableau
• SQL roadmap
• Python roadmap (Basic and fundamental Python) + Python for statistics, data visualization and data analysis
• Introduction to A/B testing
• 70+ project ideas
• 15+ free learning resources

FAQ

I answered most common questions asked regarding this roadmap. Check them before buying to make sure that you’re interested in this product.

What can I expect from this roadmap?

This roadmap provides a structured and step-by-step guide to becoming a proficient data analyst. It outlines the key topics, skills, and milestones you should achieve along your learning journey.

Can I use this roadmap as a learning curriculum for my data analyst career?

Yes, you can use this roadmap as a foundation for your data analyst career. It serves as a comprehensive guide to help you acquire the necessary knowledge and skills to excel in the field.

Is there a cost associated with accessing the roadmap?

The roadmap itself is not available for free. However, a free version is accessible on my Instagram account @codingmermaid.ai, which provides an overview and some guidance. For more detailed and in-depth resources, there may be associated costs.

Are there any prerequisites to start following this roadmap?

While there are no strict prerequisites, having a basic understanding of mathematics, statistics, and some programming knowledge can be helpful. The roadmap will guide you through the necessary foundational concepts.

Is this roadmap suitable for beginners with no prior data analysis experience?

Yes, this roadmap is designed to cater to individuals with various levels of experience, including beginners. It provides guidance starting from the fundamentals, making it accessible for those new to data analysis.

Can I adapt this roadmap to my own pace and learning style?

Absolutely! The roadmap is a flexible guide, and you can adapt it to your preferred pace and learning style. It's important to customize your learning journey to suit your needs and goals.

Is there any support or community associated with this roadmap?

While the roadmap itself is a self-guided resource, you may find supportive communities, forums, or online groups dedicated to data analysts that can provide valuable insights, assistance, and networking opportunities.

How often is the roadmap updated to reflect changes in the data analysis field?

The roadmap's frequency of updates may vary. It's a good practice to periodically check for updates or new versions, especially if you want to stay current with the latest trends and technologies in data analysis.

Is certification included as part of this roadmap?

The roadmap itself does not provide certifications. However, it can guide you toward relevant courses and resources that offer certifications in data analysis, which can be beneficial for your career.

Can I use this roadmap for roles other than data analysis, such as data science or business intelligence?

While this roadmap primarily focuses on data analysis, many of the foundational skills and concepts covered are applicable to related roles like data science or business intelligence. You can use it as a starting point and then tailor your learning to your specific career goals.