Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge. Unlike any other Python tutorial, this course focuses on Python specifically for data science, you will learn about powerful ways to store and manipulate data as well as cool data science.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.
Having an Official Edukite Certification is a great way to celebrate and share your success. You can:
- Add the certificate to your CV or resume and brighten up your career
- Show it to prove your success
Course Credit: Datacamp
Course Curriculum
| Module: 1 | |||
| Python For Data Science: Introduction | 00:04:00 | ||
| Variables and Types in Python | 00:03:00 | ||
| What is a Python List? | 00:03:00 | ||
| How to subset Python Lists | 00:02:00 | ||
| How to do List Manipulation in Python | 00:03:00 | ||
| How to use Python Functions. | 00:04:00 | ||
| How to use Python Methods. | 00:05:00 | ||
| How to make use of Python Packages. | 00:04:00 | ||
| Learn Numpy for Python | 00:05:00 | ||
| How to use Numpy Arrays in Python | 00:03:00 | ||
| Module: 2 | |||
| Basic Statistics In Python With Numpy | 00:03:00 | ||
| Graphical exploratory data analysis with python | 00:01:00 | ||
| Python tutorial: Cumulative Distribution Functions | 00:03:00 | ||
| Plotting Data with Python | 00:02:00 | ||
| Python tutorial: Plotting histograms with Python | 00:02:00 | ||
| Python Tutorial: Exploratory Data Analysis | 00:03:00 | ||
| Statistical Thinking in Python | 00:02:00 | ||
| Learn Python: Relational Databases | 00:01:00 | ||
| Learn Python: Intro to SQL Queries | 00:03:00 | ||
| SQLAlchemy: Connecting to a database | 00:03:00 | ||
| Module: 3 | |||
| Python tutorial: Introduction to Databases in Python | 00:02:00 | ||
| Python tutorial: introduction to relational databases | 00:01:00 | ||
| Scraping the web with Python | 00:03:00 | ||
| Python tutorial: HTTP requests to import data from the web | 00:04:00 | ||
| Python tutorial: Importing flat files from the web | 00:04:00 | ||
| Importing data in Python (Part 2) | 00:01:00 | ||
| Final thoughts: Importing data with Python | 00:02:00 | ||
| Python Pandas: Importing flat files | 00:03:00 | ||
| Python NumPy: Importing flat files | 00:02:00 | ||
| Importing flat files with Python | 00:03:00 | ||
| Module: 4 | |||
| Getting started with importing data in Python | 00:03:00 | ||
| Importing data in Python – Course One | 00:01:00 | ||
| Python Tutorial: Writing functions in Python | 00:02:00 | ||
| Data Science Functions in Python | 00:01:00 | ||
| Python tutorial: Basic Ingredients of a Python function | 00:01:00 | ||
| Python Tutorial: Multiple parameters and return values | 00:04:00 | ||
| Python Tutorial: Writing user-defined functions | 00:04:00 | ||
| Customizing plots with python matplotlib | 00:03:00 | ||
| Histograms with python matplotlib | 00:03:00 | ||
| Basic plots with python matplotlib | 00:04:00 | ||
| Assessment | |||
| Submit Your Assignment | 00:00:00 | ||
| Certification | 00:00:00 | ||
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