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Data Analyst Course

Becoming a data analyst in 2023 involves a combination of education, skills development, and practical experience. Here's a step-by-step guide to help you on your journey: 1. Educational Background Degree: While a degree is not always mandatory, a bachelor’s degree in a relevant field such as data science, statistics, mathematics, computer science, economics, or business is often preferred. Online Courses: If you don't have a formal degree, you can take online courses from platforms like Coursera, edX, or Udemy. Look for courses that cover data analysis, statistics, machine learning, and programming.

company logo PT Telekomunikasi Indonesia (Persero) Tbk
Terakhir di update 08/2024
Pelatihan ini mencakup
65 Menit
1 Modul
4 Video
Sertifikat Pelatihan
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Apa yang anda akan pelajari dalam modul ini ?
Get Hands-On Experience
Projects: Work on real-world projects, which you can include in your portfolio. You can find datasets on websites like Kaggle to practice your skills.
Internships: Look for internships or entry-level positions where you can apply your skills in a real business environment.
Freelance Work: Platforms like Upwork and Freelancer can provide opportunities to work on smaller projects and build your experience.
Materi

1 Materi 4 Video 0m1j 5m total durasi

How to Become a Data Analyst

00:13

Installing MySQL and Creating Databases | MySQL for Beginners

00:12

Quiz Data science 1

00:20

testing

00:19
Detail Pelatihan
Learn Key Skills
Programming Languages: Proficiency in programming languages like Python, R, and SQL is essential. Python is particularly popular in the data science community.
Statistical Analysis: Understanding statistical methods and how to apply them is crucial for analyzing data sets.
Data Visualization: Learn tools like Tableau, Power BI, and libraries like Matplotlib and Seaborn in Python to create meaningful visualizations.
Data Manipulation: Gain expertise in handling data with tools like Excel, SQL, or pandas (Python library).
Machine Learning (Optional): Some data analysts may need to apply basic machine learning algorithms, so a foundational understanding of machine learning concepts can be beneficial.
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PT Telekomunikasi Indonesia (Persero) Tbk

PT Telkom Indonesia (Persero) Tbk (Telkom) is a state-owned information and communications technology enterprise and telecommunications network in Indonesia. The Government of Indonesia is the majority shareholder with 52.09 percent shares while the remaining 47.91 percent shares belong to public shareholders. Telkom’s shares are traded on the Indonesian Stock Exchange (IDX) where it is listed as “TLKM” and on the New York Stock Exchange (NYSE), which lists it as “TLK”. As it transforms to become a digital telecommunication company, TelkomGroup implements a customer-oriented business and company operational strategy. The transformation aims to trim down TelkomGroup’s organization to be leaner and more agile in adapting the fast-changing nature of telecommunications industry. The new organization is expected to be able to improve efficiency and be more effective in producing a quality customer experience. TelkomGroup’s activities grow and change in accordance to the development of new technology, information and digitalization, but still within the corridor of telecommunications and information technology. This is evident in the newly developed business lines, which complements the company’s existing legacy business.

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