Data Analyst Roadmap 2024 | Data Analyst Weekly Study Plan | Free Resources to Become Data Analyst

Summary

This video script offers a realistic roadmap for aspiring data analysts, emphasizing the need for hard work over unrealistic promises. It outlines a 3-6 month study plan requiring 4 hours daily, covering Excel, business math, statistics, and core skills like LinkedIn profile creation. The speaker, a hiring manager with industry experience, provides free resources, project ideas, and emphasizes the importance of learning from legitimate instructors to become industry-ready.

Takeaways

• 🗓️ The roadmap suggests a 3-6 month time frame with 4 hours of daily study for becoming a data analyst, emphasizing the need for hard work and dedication.
• 🚫 The speaker discourages seeking shortcuts and unrealistic promises, advocating for a realistic and gradual learning approach.
• 🛠️ The roadmap includes a week-by-week study plan with free resources, assignments, and checklists to guide the learning process.
• 👨‍🏫 The creators of the roadmap are hiring managers with extensive industry experience, ensuring the content is based on real-world knowledge.
• 🔍 Week zero focuses on conducting research to avoid scams and emphasizes the importance of learning from instructors with industry experience.
• 📊 Excel, business math, and statistics are foundational skills to be covered in the initial weeks, with a focus on practical application over theoretical knowledge.
• 📈 Learning how to showcase work effectively is crucial for securing interviews and job opportunities in data analysis.
• 🔗 Creating a professional LinkedIn profile is an ongoing core skill that should be developed in parallel with learning technical skills.
• 📚 The roadmap includes resources for learning SQL, BI tools like PowerBI or Tableau, and Python for data analysis, tailored to the needs of a data analyst role.
• 🤝 Engaging with data analytics influencers on LinkedIn can provide valuable insights and networking opportunities.
• 📈 Building a portfolio website or using GitHub to showcase live work is essential for demonstrating practical skills to potential employers.

Q & A

What is the time commitment required to follow the roadmap for becoming a data analyst as described in the video?

Following the roadmap requires a 3 to 6 months time period with a daily study commitment of 4 hours.

Why should viewers be cautious about the promises made by some YouTubers or influencers when promoting their courses?

Viewers should be cautious because some influencers may make unrealistic promises and sell courses without having real industry experience, which can lead to scams and false expectations.

What is the importance of Excel as a fundamental skill for data analysts according to the video?

Excel is considered the most basic and fundamental skill for data analysts, and the roadmap emphasizes learning basic formulas, advanced formulas, pivot tables, and basic charting without the need for VBA or macros.

How can one effectively learn Excel using free resources as suggested in the video?

One can use YouTube tutorials, the Google Template Library for practical use cases, and Chandu's YouTube channel for specific concepts. Additionally, one can explore Vortex 42 for Excel templates and a structured course if they prefer a more guided approach.

What is the significance of creating a LinkedIn profile while learning data analysis skills in the roadmap?

Creating a LinkedIn profile is important as it is a core skill that helps in professional networking and job hunting, and it should be developed in parallel with learning tool skills.

What are some of the key business math and statistics concepts covered in the learning resources provided in the video?

The key concepts include arithmetic percentages, market share, year-over-year growth, mean, median, mode, variance, standard deviation, and average percentages.

Why is it recommended to engage with data influencers on LinkedIn while learning data analysis?

Engaging with data influencers on LinkedIn can provide valuable insights, learning opportunities, and the chance to ask questions and interact with professionals, which can help build a good reputation and potentially lead to job opportunities.

What is the role of SQL in the data analyst learning roadmap, and what should one focus on?

SQL is a must-learn skill for data analysts, often referred to as the 'salt of data science.' One should focus on the basics of SQL, including relational databases, joins, and not get into database creation, indexes, or triggers which are more for data engineers.

How does the roadmap suggest improving presentation skills for data analysts?

The roadmap suggests watching a specific YouTube video titled 'How to avoid Death by PowerPoint' and participating in resume project challenges to practice and improve presentation skills.

What is the purpose of building a portfolio website or project portfolio for data analysts?

A portfolio website is essential for showcasing live work and projects to potential employers, providing a more dynamic representation of one's skills and experience compared to a static resume.

What are some of the insights provided for interview preparation in the final weeks of the roadmap?

The insights include practicing SQL interview questions on websites like Data Lemur, using resources like Tech TFQ and Learn with Gigs for PowerBI interviews, and participating in more resume project challenges to strengthen skills.