Bagaimana Cara Menjadi Data Analis | Data Analyst Roadmap

Summary

This video discusses the growing demand for data professionals in Indonesia, specifically data analysts, and highlights the essential skills required to succeed in this booming field. It covers soft skills like analytical thinking and communication, as well as technical skills such as Excel, SQL, Tableau, and Python. The video also emphasizes the importance of continuous learning, building a professional portfolio, and networking on platforms like LinkedIn. The speaker shares personal experiences and provides resources to help aspiring data analysts begin their careers, offering insights into industry tools and practices.

Takeaways

• 😀 Data analysts are in high demand in Indonesia, with a growing need for 9 million skilled workers in the field.
• 😀 To start a career in data analytics, it's important to understand the tools, mindset, and skills required.
• 😀 A data analyst is responsible for transforming data into actionable information, supporting decision-making in businesses.
• 😀 Key skills for a data analyst include an analytical mindset, basic mathematics, communication skills, and the ability to learn new things quickly.
• 😀 Proficiency in tools like Excel, SQL, and business intelligence software (e.g., Tableau, Power BI) is essential for data analysts.
• 😀 SQL is crucial for handling large datasets, as it enables users to access and manipulate databases effectively.
• 😀 Python and R are powerful programming languages that can take a data analyst's skills to the next level, especially for predictive analysis.
• 😀 Excel remains one of the most commonly used tools, but it has limitations when dealing with large data sets, making SQL and Tableau useful for more complex tasks.
• 😀 Soft skills like communication and curiosity are just as important as technical skills for a data analyst to succeed.
• 😀 For newcomers, pursuing certification courses like Google Data Analytics Professional Certificate can be a great way to build both soft and hard skills.
• 😀 Building a professional portfolio and personal branding on platforms like LinkedIn can greatly enhance career opportunities in data analytics.

Q & A

What is the current demand for data practitioners in Indonesia?

According to data from Kominfo, Indonesia currently needs about 9 million data practitioners, indicating a strong demand for professionals in this field.

What skills are essential for someone starting a career as a data analyst?

To start a career as a data analyst, essential skills include an analytical mindset, basic math skills, communication skills for presenting results, a curiosity to learn, and proficiency with tools like Excel, SQL, and business intelligence applications.

How did the speaker get interested in data analysis?

The speaker became interested in data analysis during college, where they studied accounting and took a course on computer auditing. They learned Excel and other analysis tools, which later inspired them to pursue data analysis in their career.

What is the role of a data analyst?

A data analyst is responsible for collecting, transforming, and analyzing data to turn it into meaningful information. This helps decision-makers in businesses make informed choices. Their work often involves descriptive, diagnostic, and sometimes predictive analysis.

What are some common types of data analysis?

The main types of data analysis include descriptive analysis (understanding past data), diagnostic analysis (investigating reasons behind past events), and predictive analysis (forecasting future trends). Data analysts typically focus on descriptive and diagnostic analysis, while predictive analysis is more aligned with data science.

What are the most important soft skills for a data analyst?

The most important soft skills for a data analyst include an analytical mindset, critical and logical thinking, communication skills for presenting findings, curiosity to learn new things, and the ability to understand and adapt to new business processes.

What technical skills should a data analyst learn?

Data analysts should master tools like Excel for data manipulation, SQL for querying databases, and business intelligence software like Tableau or Power BI for data visualization. Additionally, learning programming languages like Python or R is recommended for more advanced analysis.

What is the importance of Excel in data analysis?

Excel is a powerful tool for data analysis because it allows analysts to store, manipulate, and visualize data. It offers features like formulas, filters, and pivot tables, which are essential for basic data analysis.

Why is SQL important for data analysts?

SQL is essential because it allows data analysts to access and manipulate large datasets stored in databases. It's crucial for querying databases efficiently, especially when dealing with large amounts of data that exceed Excel's limitations.

What are some recommended tools for data visualization?

Popular tools for data visualization include Tableau and Power BI. These tools help data analysts present their findings in a visually appealing and understandable way, making it easier for decision-makers to interpret data.