- Duration: 2 Hrs
- Provider: DataCamp
- Course Fee:Subscription
- Course Delivery Method: Self Paced
Data Science with no coding, is a non-technical course. Without having to write a single line of code, get introduced to everything you were ever too afraid to ask about this fast-growing and exciting field. Through hands-on exercises, you’ll learn about the different data scientist roles, foundational topics like A/B testing, time series analysis, and machine learning, and how data scientists extract knowledge and insights from real-world data.
What you will learn
Introduction to Data Science
- What is data science?
- Customer segmentation workflow
- Building a customer service chatbot
- Applications of data science
- Assigning data science project
- Investment research
- Data science roles and tools
- Editing a job post
- Matching skills to jobs
- Classifying data tasks
- Preparation
Data Collection and Storage
- Data sources
- Sorting data sources
- Asthma frequencies
- Data types
- Net promoter score
- Activity tracker
- Data storage and retrieval
- Cloud platforms
- Querying a database
- Which type of database?
- Data Pipelines
- Data pipeline characteristics
- Extract Transform Load
Preparation, Exploration, and Visualization
- Data preparation
- The truth is out there
- Are you prepared?
- Exploratory Data Analysis
- Numerical EDA
- Visual EDA
- Visualization
- Interactive dashboards
Experimentation and Prediction
- A/B Testing
- Creating an A/B testing workflow
- Statistical significance
- Intermediate results
- Time series forecasting
- Classifying time-series data
- Interpret a time series plot
- Supervised machine learning
- When to use supervised learning
- Features and labels
- Model Evaluation
- Clustering
- Supervised vs. unsupervised
- Cluster size selection
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Certificate
Not Included -
Age Group
17+ -
Institution
DataCamp -
Difficulty Level
Beginner -
Category
Courses in Computer Science & IT, -
SubCategory
Data Science,