Data Analytics: La MEJOR RUTA para aprenderlo en 2023

DataScience ForBusiness
21 Nov 202216:04

Summary

TLDRIn this video, Isa González from La Tercera Business School outlines a clear path for becoming a data analyst in 2023. She uses a tiered methodology to visually explain the process and analyzes a real job offer from IKEA to exemplify the skills and experience required for such a role. González clarifies the distinction between a data analyst and a data scientist. She recommends starting with mastering Excel, understanding descriptive statistics, and learning visualization tools like Tableau or Power BI within the first six months. From months 6 to 12, she suggests learning SQL, R for programming, and delving into inferential statistics and data science methodologies, emphasizing the importance of business analytics and sector specialization to stand out in the job market.

Takeaways

  • 📈 The video aims to guide viewers on the best path to become a Data Analyst in 2023 using a visual and easily understandable methodology.
  • 🌐 The presenter, Isa González, uses a real job offer from LinkedIn as a case study to illustrate the skills and qualifications required for a Data Analyst role.
  • 🔍 The job offer from a well-known company (IKEA) is highlighted as representative of the industry's expectations for a Senior Data and Strategy Analyst position.
  • 🧐 The role requires a balanced profile with both strong analytical skills and business acumen to apply data analysis techniques for business outcomes.
  • 📚 The script emphasizes the importance of having a 'mixed profile' with a mix of technical data analysis skills and business understanding.
  • 💼 The job posting specifies the need for experience in identifying business opportunities, market size estimations, and calculating business impact.
  • 🛠️ Technical skills required include data visualization tools like Power BI or Tableau, analytical knowledge, SQL, and preferably experience with R or Python.
  • 📊 The video suggests a learning roadmap for aspiring Data Analysts, starting with mastering Excel, understanding descriptive statistics, and learning data visualization tools.
  • 📈 After the initial 6 months, the roadmap suggests learning SQL, followed by more advanced skills like R for programming and inferential statistics.
  • 📚 The importance of storytelling with data and being a team player is also highlighted, emphasizing the need for good communication skills.
  • 🔑 The presenter recommends focusing on business understanding, technical skills, and communication as the three main pillars for a Data Analyst.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is to guide viewers on the best path to become a Data Analyst in 2023 using a visual methodology called 'tiers' and by analyzing a real job offer on LinkedIn.

  • Who is the presenter of the video?

    -The presenter of the video is Isa González from La Tercera Business.

  • What methodology does Isa González use to explain the learning path for a Data Analyst?

    -Isa González uses the 'tiers' methodology, which is a visual and easily understandable approach to outline the learning path for a Data Analyst.

  • What is the purpose of analyzing a real job offer from LinkedIn in the video?

    -The purpose of analyzing a real job offer from LinkedIn is to provide a clear and representative example of the skills and experience typically required for a Data Analyst position in 2023.

  • Which company's job offer does Isa González analyze in the video?

    -Isa González analyzes a job offer from a well-known company, mistakenly referred to as IKEA in the transcript, for a Senior Data and Strategy Analyst position.

  • What are the three main pillars that a Data Analyst should have according to the video?

    -The three main pillars that a Data Analyst should have are a strong business vision, technical skills, and communication abilities.

  • What is the recommended first tool to master for a beginner Data Analyst according to Isa González?

    -The recommended first tool to master for a beginner Data Analyst is Excel, as it is widely used in businesses and is essential for basic to intermediate data analysis.

  • What statistical knowledge is essential for a Data Analyst to learn in the initial phase of their career?

    -Descriptive statistics is essential for a Data Analyst to learn in the initial phase of their career, including measures of central tendency, dispersion, and the ability to create basic graphs.

  • Which visualization tools are mentioned in the video for a Data Analyst to learn?

    -The visualization tools mentioned in the video for a Data Analyst to learn are Tableau, Power BI, and Looker.

  • What programming languages are suggested for a Data Analyst to learn for more advanced roles?

    -The programming languages suggested for a Data Analyst to learn for more advanced roles are R and Python, with R being more recommended for non-technical profiles.

  • What are the advanced topics a Data Analyst should learn in the second phase of their learning path (6 to 12 months)?

    -In the second phase of their learning path, a Data Analyst should learn inferential statistics, Data Science methodologies, and business analytics techniques such as RFM segmentation, financial analysis, and people analytics.

  • How does Isa González recommend a beginner to organize their learning path for becoming a Data Analyst?

    -Isa González recommends organizing the learning path in tiers, with the first phase focusing on Excel, descriptive statistics, and basic visualization tools, followed by a second phase that includes learning SQL, R, inferential statistics, and Data Science methodologies.

  • What is the timeframe suggested by Isa González for a full-time learner to become a working Data Analyst from scratch?

    -Isa González suggests a timeframe of 6 to 12 months for a full-time learner to become a working Data Analyst from scratch, depending on their dedication and learning pace.

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Transcripts

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