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Programming for Data Science

Kebutuhan atas analisis data semakin berkembang pesat; dan hal ini menunjukkan bahwa data science merupakan skill set yang sangat berharga. Dalam chapter ini, kita akan mempelajari bahasa pemrograman R

Data Visualization

The most crucial part in data visualization is turning your data into an invaluable insight. In this course, we will put a lot of the times into hands-on session, particularly to create some new insights from a dataset, and how to correctly visualize them.

Interactive Plotting

Rebecca Barter, “Interactivity allows the viewer to engage with your data in ways impossible by static graphs. With an interactive plot, viewers can zoom into areas they care about, highlight data points that are relevant to them and hide the information that isn’t.”.

Practical Statistics

Statistikawan dan data scientist menggunakan statistika deskriptif untuk menyimpulkan dan menjelaskan banyak pengukuran. Sering kali, pekerjaan ini juga dilakukan bersama dengan memberikan grafik dan gambar untuk membantu memahami kesimpulan dari data yang ada.

Regression Models

Saat nilai prediksi yang kita cari adalah numerik (seperti harga kilang minyak, curah hujan, penjualan triwulanan, tekanan darah, dll), kita akan menyebutnya sebagai masalah “regresi”.

Programming for Data Science

Regresi logistik adalah algoritma klasifikasi yang digunakan agar sesuai dengan kurva regresi, y=f(x), di mana y adalah variabel kategori.

Classification 2

Dalam teori probabilitas, seandainya kita ingin mengetahui probabilitas dari dua peristiwa yang terjadi: cuaca cerah dan tim sepak bola lokal kita memenangkan pertandingan berikutnya

Unsupervised Machine Learning

Throughout the Machine Learning Specialization, we’ve been learning about algorithms that are greatly useful in situations of regression and classification.

Time Series & Forecasting

Time Series Analysis describes a set of research problems where our observations are collected at regular time intervals and where we can assume correlations among successive observations.

Neural Network and Deep Learning

Artificial neural networks applied in the field of image recognition and handwriting classification have garnered a fair amount of press and public attention these days
cloudera

Developer Training for Apache Spark and Hadoop

This course’s exercise environment provides a small cluster that allows you to practice the concepts taught in the course in a realistic environment. This section will familiarize you with

Developer Training for Apache Spark and Hadoop

This course’s exercise environment provides a small cluster that allows you to practice the concepts taught in the course in a realistic environment. This section will familiarize you with the environment

Cloudera Administrator Training for Apache Hadoop

Cloudera University’s four-day administrator course provides the technical background you need to manage and scale a Cloudera cluster in a development or production environment. This is the core administrator learning path curriculum.

Cloudera Administrator Training for Apache Hadoop

Cloudera University’s four-day administrator course provides the technical background you need to manage and scale a Cloudera cluster in a development or production environment. This is the core administrator learning