ANC-DBM3710.AD1
DBM3710: Data Analysis with Python
- Practice in 15 Praktische Übungen — nothing to install
- 5 Interaktive Lektionen Und 20 topics mapped to the official exam objectives
- 19 Testfragen zur Praxis
Beginner Selbstgesteuert · 1 Jahr Zugang
15 Praktische LiveLabs
Practice real IT tasks in guided environments.
- Reale Umgebungen
- Automatisch bewertet
- Keine Installation
5Interaktive Lektionen
20Topics
15LiveLab
19Testfragen zur Praxis
80Karteikarten
80Glossar der Begriffe
01 / Lektionen & Labore
See exactly what you will learn and practice
Unterrichtsplan
5 Interaktive Lektionen · 20 topics01 Setting Up a Python Data Science Environment 3 topics · 1 LiveLab +
- Topic A: Select Python Data Science Tools
- Topic B: Install Python Using Anaconda
- Topic C: Set Up an Environment Using Jupyter Notebook
1 LiveLab in this lesson — see the labs panel →
02 Managing, Analyzing, and Transforming Data with NumPy 5 topics · 5 LiveLab +
- Topic A: Create NumPy Arrays
- Topic B: Load and Save NumPy Data
- Topic C: Analyze Data in NumPy Arrays
- Topic D: Manipulate Data in NumPy Arrays
- Topic E: Modify Data in NumPy Arrays
5 LiveLab in this lesson — see the labs panel →
03 Managing and Analyzing Data with pandas 4 topics · 3 LiveLab +
- Topic A: Create Series and DataFrames
- Topic B: Load and Save pandas Data
- Topic C: Analyze Data in DataFrames
- Topic D: Slice and Filter Data in DataFrames
3 LiveLab in this lesson — see the labs panel →
04 Transforming and Visualizing Data with pandas 3 topics · 3 LiveLab +
- Topic A: Manipulate Data in DataFrames
- Topic B: Modify Data in DataFrames
- Topic C: Plot DataFrame Data
3 LiveLab in this lesson — see the labs panel →
05 Visualizing Data with Matplotlib and Seaborn 5 topics · 3 LiveLab +
- Topic A: Create and Save Simple Line Plots
- Topic B: Create Subplots
- Topic C: Create Common Types of Plots
- Topic D: Format Plots
- Topic E: Streamline Plotting with Seaborn
3 LiveLab in this lesson — see the labs panel →
Praktische Übungen Our edge
15 LiveLabs- Setting Up a Jupyter Notebook Environment
- Creating a NumPy Array
- Loading and Saving NumPy Data
- Analyzing Data in a NumPy Array
- Using the Arithmetic Functions and Operators
- Using the Comparison Functions and Operators
- Creating Series and DataFrames
- Loading and Saving DataFrame Data
- Analyzing Data in a DataFrame
- Manipulating Data in a DataFrame
- Modifying Data in a DataFrame
- Creating a Scatter Plot
- Creating a Line Plot
- Creating a Histogram
- Formatting Plots
Labore laufen direkt im Browser — nichts zu installieren.
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- 1 Jahr voller Zugang
- 15 LiveLab enthalten
- Abschlusszertifikat
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