- An introduction to the world of data science
- Reasons why Python is such a popular programming language
- Common Python terms
- An introduction to the Next.Tech platform
- Python syntax
- Python control flows
- Python lists
- Python functions
- An introduction to computational thinking
- Data distributions
- Displaying and describing quantitative data
- Scatter Plots
Online
6 Weeks
$ 490
Quick facts
particular | details | ||
---|---|---|---|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Text Based
|
Learning efforts
10-15 Hours Per Week
|
Course and certificate fees
Fees information
$ 490
certificate availability
No
The syllabus
Topic 1: Introduction to Data Science & Python
Topic 2: Intermediate Python
- Python dictionaries
- Python strings
- Part 2 of Python control flows
- The difference between functions and methods
- How to effectively interact with a program in Python
Topic 3: Foundations of Probability
- Calculating basic probabilities
- Bayes’ Theorem
- Conditional probability
Topic 4: Python: Data Structures & Algorithms
- Data structures, including stacks and queues
- Search algorithms
- Sort algorithms
Topic 5: Data Science Technical Skills Survey
- Features 10 statistics multiple choice questions and 2 open-ended coding questions
- You’ll be able to take the technical
skills survey as many times as you like
Topic 6: Your Data Science Toolbox
- Using Anaconda and Conda
- Working with Git and GitHub
- An introduction to Jupyter Notebooks
- NumPy and Matplotlib
- Data manipulation with Pandas
Topic 7: The Apps Project
- Approaching a dataset with a business problem in mind
- Using common data science tools (like Jupyter Notebooks and Matplotlib)
- Downloading and transforming data for analysis
- Exploring data through the use of plots and statistics
- Data storytelling