Materi
Descriptive Analysis
Nouval Habibie - Data Scientist at Unicorn Startup Company
Pada materi ini, kita akan mempelajari tentang statistika deskriptif. Lebih lanjut, kita akan belajar menganai tipe data, tendensi pemusatan, tendensi penyebaran, dan outliers. Setelah mempelajari materi ini, diharapkan kita dapat membuat Outliers, Boxplot, juga Histogram.
Akan Didapatkan
Rekomendasi Kelas Lainnya
Pelajari skill melalui serial short video + mini quiz dengan learning path dan topik yang terstruktur.
Data Science FundamentalPortfolio Project
3
8.236
4,66
1
Kaggle, GitHub, KedroPortfolio Project
5
4.163
4,59
2
Statistics IntroductionPortfolio Project
3
5.472
4,61
3
Descriptive AnalysisPortfolio Project
5
7.460
4,57
4
Data Visualization Portfolio Project
7
8.212
4,6
5
Probability and DistributionPortfolio Project
10
2.634
4,59
6
Hypothesis TestingPortfolio Project
8
7.684
4,49
7
Correlation AnalysisPortfolio Project
3
8.911
4,59
8
Introduction to Data PreprocessingPortfolio Project
5
8.801
4,57
9
Introduction to Machine LearningPortfolio Project
5
8.185
4,56
10
Project: Understanding Data for Movie AnalysisPortfolio Project
3
1.255
4,64
11
Project: Data Preparation for Movie AnalysisPortfolio Project
4
1.252
4,63
12
Project: Feature Engineering in Movie AnalyticsPortfolio Project
3
1.342
4,63
13
Project: Exploratory Data Analysis in Movie AnalyticsPortfolio Project
3
1.523
4,63
14
Project: Machine Learning Workflow in Movie AnalyticsPortfolio Project
3
1.255
4,58
15
Project: Supervised Machine Learning in Movie AnalyticsPortfolio Project
2
1.482
4,61
16
Project: Model Evaluation in Movie AnalyticsPortfolio Project
2
1.492
4,67
17
Project: Tuning in Movie AnalyticsPortfolio Project
3
1.482
4,59
18
