Data Analytics: La MEJOR RUTA para aprenderlo en 2023

Summary

In 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.