Complete Roadmap To Become Data Analyst In 2024 With Videos And Materials

Krish Naik
5 Jan 202425:17

Summary

TLDRKrish Naak introduces a roadmap for aspiring data analysts in 2024, offering free resources including videos, materials, and live sessions. He covers the data analyst's role, emphasizing the importance of Python, statistics, and SQL. Naak also highlights the significance of exploratory data analysis (EDA), feature engineering, and business intelligence tools like Power BI. For experienced professionals, he suggests learning ETL tools, particularly Informatica. The video concludes with information on a data analytics boot camp and a portal for internships and projects to gain practical experience.

Takeaways

  • 😀 Krish Naak introduces a roadmap for becoming a data analyst in 2024, offering free resources including videos, materials, and live sessions.
  • 📈 The roadmap covers the entire lifecycle of a data analyst, from understanding the role to performing tasks like requirement gathering, data analysis, and reporting.
  • 💡 Krish emphasizes the importance of learning Python, suggesting it as a foundational skill for data analysts, with resources available in both English and Hindi.
  • 📊 Statistics is highlighted as a core component of data analysis, with a focus on descriptive and inferential statistics, including hypothesis testing.
  • 🔍 The video script details the importance of Exploratory Data Analysis (EDA) and feature engineering, which are critical for data analysts to identify insights and trends within data.
  • đŸ’Ÿ Learning SQL and NoSQL databases is recommended, with specific playlists provided for mastering SQL and an introduction to MongoDB for NoSQL.
  • 📊 Business intelligence tools are discussed, with a strong recommendation for learning Power BI, as it has a broad scope and is favored in the industry.
  • đŸ‘šâ€đŸ’Œ For experienced professionals looking to transition into data analytics, the script suggests learning ETL tools, specifically Informatica, which is highly regarded in the job market.
  • 📚 Uron's data analytics boot camp is announced, with a detailed syllabus and schedule provided for those interested in a structured learning program.
  • 🌐 The script introduces Uron's internship portal, offering over 500 projects for hands-on experience, which is crucial for freshers to gain practical knowledge and an internship certificate.

Q & A

  • What is the main topic of Krish Naak's video?

    -The main topic of Krish Naak's video is the roadmap to become a data analyst in 2024, including free resources and materials for learning.

  • What kind of resources does Krish Naak provide for learning data analysis?

    -Krish Naak provides free videos, materials, handwritten notes, and live sessions for learning data analysis, both on his YouTube channel and on the Uron platform.

  • What is the first step in a data analytics or data science project according to the video?

    -The first step in a data analytics or data science project is requirement gathering, where domain experts and business analysts discuss and plan the implementation of the project.

  • What is the role of a data analyst in the data science project lifecycle?

    -A data analyst performs exploratory data analysis, detailed data analysis, and creates reports. These reports are then sent to stakeholders who make crucial decisions based on the analysis.

  • How does Krish Naak suggest someone should learn Python for data analysis?

    -Krish Naak suggests learning Python through his playlists in English and Hindi, focusing on libraries like pandas, Matplotlib, and how to perform EDA and visualizations without needing to learn modular coding.

  • Why does Krish Naak recommend learning Python over R for data analysis?

    -Krish Naak recommends Python over R because it is more versatile and can be beneficial for those who might want to transition into data science later, as data scientists often use Python.

  • What are the core statistical concepts a data analyst should know according to the video?

    -A data analyst should know descriptive statistics and inferential statistics, including hypothesis testing like Z tests and T tests.

  • What is the importance of learning SQL and databases for a data analyst?

    -Learning SQL and databases is important for a data analyst because they need to interact with and query data from databases, which is a common task in data analysis.

  • What business intelligence tool does Krish Naak recommend learning in the video?

    -Krish Naak recommends learning Power BI as the business intelligence tool for data analysts, as it has a lot of scope and is in high demand.

  • How does the video address the transition from data analyst to data scientist?

    -The video suggests that learning Python and understanding databases and business intelligence tools can help data analysts transition to data science roles, as these skills are also valuable for data scientists.

  • What is the significance of the Uron internship portal mentioned in the video?

    -The Uron internship portal provides real-time internships and projects in data analytics, which can help learners gain practical experience and an internship certificate, enhancing their employability.

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Étiquettes Connexes
Data Analytics2024 RoadmapFree ResourcesLive SessionsData SciencePython ProgrammingStatisticsEDASQLPowerBI
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