Memproses Data dari Kotor ke Bersih from Coursera

Ini adalah materi pertama dalam program Sertifikat Analitik Data Google. Materi ini akan membekali Anda dengan keterampilan yang Anda butuhkan untuk melamar pekerjaan analis data tingkat pemula. Dalam materi ini, Anda akan terus meningkatkan pemahaman tentang analitis data dan konsep dan peralatan yang digunakan para analis data dalam pekerjaan mereka. Anda akan mempelajari cara memeriksa dan membersihkan data menggunakan spreadsheet dan SQL serta cara memverifikasi dan melaporkan hasil pembersihan data Anda. Para analis data Google akan mengajarkan dan memberi tahu Anda berbagai cara untuk menyelesaikan tugas umum analis data dengan menggunakan peralatan dan sumber daya terbaik.

Pembelajar yang menyelesaikan program sertifikat ini akan memiliki bekal yang cukup untuk melamar kerja sebagai analis data tingkat pemula. Tidak dibutuhkan pengalaman apa pun.

Pada akhir materi ini, Anda akan mampu:

- Mempelajari cara memeriksa integritas data.

- Mengetahui teknik pembersihan data menggunakan spreadsheet.

- Mengembangkan kueri SQL sederhana untuk digunakan pada database.

- Menerapkan fungsi SQL sederhana untuk membersihkan dan mengubah data.

- Memahami cara memverifikasi hasil pembersihan data.

- Mengeksplorasi elemen-elemen dan arti penting laporan pembersihan data.

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Syllabus

Arti penting integritas

Saat Anda mulai berpikir tentang cara menyiapkan data untuk eksplorasi, bagian materi ini akan menyoroti mengapa integritas data sangat penting untuk keberhasilan pengambilan keputusan. Anda akan belajar tentang bagaimana data dihasilkan dan teknik yang digunakan analis untuk memutuskan data apa yang perlu dikumpulkan untuk analisis. Dan Anda akan mempelajari tentang data terstruktur dan tidak terstruktur, tipe data, dan format data.

Data yang benar-benar bersih

Setiap analis data menginginkan data yang bersih untuk diolah ketika melakukan sebuah analisis. Di bagian materi ini, Anda akan mempelajari perbedaan antara data yang bersih dan yang kotor. Anda juga akan mengeksplorasi teknik-teknik pembersihan data menggunakan spreadsheet dan peralatan lainnya.

Membersihkan data menggunakan SQL

Memahami berbagai cara untuk membersihkan data akan membuat pekerjaan seorang analis menjadi jauh lebih mudah. Pada bagian ini, Anda akan mempelajari cara membersihkan data dengan menggunakan SQL. Anda akan mengeksplorasi kueri dan fungsi dalam SQL untuk membersihkan dan mengubah data agar siap dianalisis.

Memverifikasi dan melaporkan hasil pembersihan

Membersihkan data merupakan langkah penting dalam proses analisis data. Memverifikasi dan melaporkan pembersihan adalah cara untuk menunjukkan bahwa data Anda siap untuk langkah berikutnya. Dalam bagian materi ini, Anda akan mengetahui proses yang terlibat dalam memverifikasi dan melaporkan pembersihan data serta manfaatnya.

Opsional: Menambahkan data ke resume Anda

Membuat resume yang efektif akan bermanfaat bagi karier analitik data Anda. Pada materi ini, Anda akan mempelajari semua hal tentang proses melamar kerja, khususnya mengenai cara membuat resume yang menyoroti kelebihan dan pengalaman relevan Anda. Jika saat ini Anda belum mulai mencari pekerjaan, ini adalah waktu yang tepat untuk memperbarui resume Anda. Ini seperti pelatihan pra-musim pada liga utama—Jangan sampai Anda ketinggalan!

Tantangan Materi

Persiapkan tantangan materi dengan meninjau istilah dan definisi dalam glosarium. Kemudian, tunjukkan pengetahuan Anda tentang pentingnya ukuran sampel, integritas data, dan hubungan data dengan tujuan bisnis dalam kuis berikut. Anda juga akan memiliki kesempatan untuk menerapkan keahlian Anda dalam teknik pembersihan data baik di spreadsheet dan SQL. Terakhir, dokumentasikan, laporkan, dan verifikasilah proses dan hasil pembersihan data yang Anda lakukan.

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Mengeksplorasi integritas data, yang mana merupakan standar dalam industri analitik data

Mengajarkan teknik membersihkan data menggunakan spreadsheet, yang mana berguna bagi analis data

Mengembangkan kueri dan fungsi SQL, yang mana merupakan keahlian inti bagi analis data

Memberikan proses memverifikasi dan melaporkan pembersihan data, yang mana merupakan langkah penting dalam analisis data

Memberikan tips menyusun resume untuk melamar pekerjaan analis data

Membutuhkan pengetahuan dasar tentang analisis data

Career center

Learners who complete Memproses Data dari Kotor ke Bersih will develop knowledge and skills that may be useful to these careers:

Data Analyst

The course, Memproses Data dari Kotor ke Bersih, introduces you to the data analytical process of cleaning data, exploring data, visualizing data, and modeling data. As an entry-level Data Analyst, you will become familiar with these analytical processes and many of the tools that Data Analysts use in their daily work, the two most prevalent being spreadsheets and SQL. This course can help you build a foundation for a successful Data Analyst career by concentrating on what often is one of the most difficult but important processes that a Data Analyst must master, cleaning data. Memproses Data dari Kotor ke Bersih is the first course in Google's Data Analytics Certificate program and will help you prepare for a career in data analysis.

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Business Intelligence Analyst

As a Business Intelligence Analyst, you will provide insights to help businesses make effective decisions and plans. Memproses Data dari Kotor ke Bersih can help build a foundation for your career as a Business Intelligence Analyst because it provides you with the data analytical processes needed to examine data; prepare it for analysis; analyze it; and present insights and make recommendations based on your findings. This course can help you prepare for a career as a Data Analyst by concentrating on the process of cleaning data, which often is one of the most difficult but important processes that a Business Intelligence Analyst must master before analysis can begin.

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Data Engineer

As a Data Engineer, you will design, build, and maintain data pipelines for handling increasing data volumes in order to provide users access to data in a fast and reliable manner. The data that Data Engineers work with is often dirty and needs to be cleaned before it can be used for analysis. The course, Memproses Data dari Kotor ke Bersih, can help prepare you for a career as a Data Engineer by providing you with the skills to clean data using spreadsheets and SQL. This course would be particularly helpful for those aspiring to a career in a data engineering field where data is collected from a variety of sources, such as social media, sensors, or weblogs.

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Data Scientist

A Data Scientist gathers and analyzes large sets of data to uncover patterns and trends and to draw conclusions from this analysis in order to create solutions to complex problems. Memproses Data dari Kotor ke Bersih introduces the key concepts of data analytics and can help prepare you for a profession as a Data Scientist as it provides instruction in data cleaning techniques using spreadsheets and SQL, two tools that Data Scientists use on a regular basis. Additionally, the course provides instruction in data visualization and modeling which are additional tools often used by Data Scientists.

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Statistician

Statisticians collect and analyze data to answer questions and solve problems, often working with other professionals such as actuaries, computer scientists, and operations researchers. Statisticians must be able to clean data before they can analyze it. The course, Memproses Data dari Kotor ke Bersih, provides instruction on how to clean data using various techniques, making it a useful course for aspiring Statisticians.

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Database Administrator

A Database Administrator designs, implements, and maintains an organization's database systems. In order to maintain database systems, Database Administrators often must extract, transform, and load data. The course Memproses Data dari Kotor ke Bersih provides instruction on how to load and transform data using SQL, a skill that Database Administrators need in order to perform these ETL operations.

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Market Researcher

A Market Researcher conducts surveys, gathers data, and analyzes it to understand market trends. Memproses Data dari Kotor ke Bersih can help prepare you for a career as a Market Researcher because it provides instruction on data cleaning techniques. Market Researchers must be able to clean data to ensure data integrity before it can be analyzed for trends.

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Operations Research Analyst

An Operations Research Analyst uses analytical methods to help organizations make better decisions. Memproses Data dari Kotor ke Bersih can help prepare you for a career as an Operations Research Analyst by providing you with instruction on data cleaning techniques. Operations Research Analysts often must clean data before they can analyze it for predictive modeling and forecasting.

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Quantitative Analyst

A Quantitative Analyst is a finance professional who uses quantitative methods to analyze data and make investment decisions. Memproses Data dari Kotor ke Bersih can help prepare you for a career as a Quantitative Analyst by providing you with instruction in data cleaning using spreadsheets and SQL. These skills are essential for Quantitative Analysts, who often work with large amounts of data that must be cleaned before it can be analyzed for investment purposes.

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Software Engineer

Software Engineers design, develop, deploy, and maintain software systems, typically working with a team. Memproses Data dari Kotor ke Bersih can help prepare you for a career as a Software Engineer as it provides instruction in data cleaning using spreadsheet and SQL, two skills that are often required for Software Engineers to possess. This course may be particularly useful for Software Engineers who work in data-intensive fields like data science, machine learning, and artificial intelligence.

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Data Architect

A Data Architect designs and implements data management solutions, often working with other IT professionals such as database administrators and network engineers to ensure that an organization's data is secure and accessible. Memproses Data dari Kotor ke Bersih may be helpful for aspiring Data Architects as it provides instruction in data cleaning using SQL, a skill that may be useful when working with databases.

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Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models, typically working with other professionals such as data scientists and software engineers. Memproses Data dari Kotor ke Bersih may be useful for aspiring Machine Learning Engineers as it provides instruction in data cleaning using spreadsheets and SQL, two skills that are often needed when working with data for machine learning models.

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Computer Scientist

Computer Scientists conduct research in computer science, typically working with other IT professionals such as software engineers and systems analysts to design, develop, and maintain computer systems and applications. Memproses Data dari Kotor ke Bersih may be useful for aspiring Computer Scientists as it provides instruction in data cleaning using SQL, a skill that may be useful when working with databases and large datasets.

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Information Security Analyst

An Information Security Analyst plans and implements security measures to protect an organization's computer networks and systems. Memproses Data dari Kotor ke Bersih may be useful for aspiring Information Security Analysts as it provides instruction in data cleaning using SQL, a skill that may be useful when analyzing data for security breaches and other security-related issues.

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Actuary

Actuaries use mathematical and statistical methods to assess risk and uncertainty, typically working with other professionals such as insurance underwriters and financial analysts. Memproses Data dari Kotor ke Bersih may be useful but is not required for aspiring Actuaries as it offers instruction in data cleaning using SQL, a skill that may be useful when working with large datasets.

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Memproses Data dari Kotor ke Bersih

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