Data Manipulation Courses and Certifications

Data Science with NumPy, Sets, and Dictionaries

Master NumPy, sets, and dictionaries for data science. Gain hands-on experience in data manipulation, analysis, and visualization. Develop skills in vectorization, randomization, and image processing for real-world applications.

• Coursera
• 1 day 6 hours 44 minutes
• On-Demand
• Free Online Course (Audit)

Pandas for Data Science

Learn to use Pandas for data manipulation in Python. Master file operations, data cleaning, and dataset combination. Gain practical skills for efficient data handling and analysis in data science projects.

• Coursera
• 1 day 17 hours 29 minutes
• On-Demand
• Free Online Course (Audit)

Data Tidying and Importing with R

Transform and manipulate data using tidyverse in R. Learn data tidying, importing, recoding, and web scraping techniques to prepare datasets for visualization and modeling.

• Coursera
• 12 hours 49 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

JavaScript for Beginners

Learn JavaScript from scratch: master basics, animation, interactivity, and data manipulation. Ideal for beginners and career changers seeking to develop practical programming skills.

• Coursera
• 17 weeks, 4 hours a week
• On-Demand
• Paid Course
• 4 courses

Data Manipulation in JavaScript

62 ratings at Coursera

Explore data manipulation techniques in JavaScript, including form validation, asynchronous functions, and working with external APIs. Enhance your skills in handling user input and managing complex data structures.

• Coursera
• 18 hours 41 minutes
• On-Demand
• Free Online Course (Audit)

Python Data Representations

1119 ratings at Coursera

Explore Python's data representations including strings, lists, and tuples. Learn file access for data storage and retrieval, enhancing your ability to manipulate data and write complex programs.

• Coursera
• 8 hours 48 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Expressway to Data Science: Python Programming

Learn Python programming for data science from scratch. Master fundamentals, functions, and essential packages like Pandas and Numpy. Ideal for beginners seeking a fun, step-by-step approach to Python and data analysis.

• Coursera
• 13 weeks, 5 hours a week
• On-Demand
• Paid Course

Introduction to Python Fundamentals

166 ratings at Coursera

Learn Python basics with a slow-paced approach, covering variables, operators, input/output, and flow control. Build simple programs and gain confidence in programming, perfect for beginners.

• Coursera
• 20 hours 20 minutes
• On-Demand
• Free Online Course (Audit)

Python Packages for Data Science

52 ratings at Coursera

Explore essential Python packages for data science: Pandas, NumPy, Matplotlib, and Seaborn. Learn data manipulation and visualization techniques to enhance your data analysis skills.

• Coursera
• 19 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Python Functions

47 ratings at Coursera

Learn to create and use Python functions for data manipulation, making your programs reusable and adaptive. Covers basic definitions, parameters, return values, and nested functions.

• Coursera
• 18 hours 58 minutes
• On-Demand
• Free Online Course (Audit)

Data Processing and Manipulation

Learn essential data processing techniques: handling missing values, detecting outliers, sampling, dimension reduction, scaling, discretization, and using data cubes and pivot tables for efficient analysis and decision-making.

• Coursera
• 1 day 4 hours 42 minutes
• On-Demand
• Free Online Course (Audit)

Data Wrangling with Python Project

Apply data wrangling techniques to transform raw data into a refined dataset ready for analysis. Gain hands-on experience in identifying sources, collecting, integrating, and processing data for real-world challenges.

• Coursera
• 1 day 1 hour 40 minutes
• On-Demand
• Free Online Course (Audit)

Fundamental Tools of Data Wrangling

15 ratings at Coursera

Learn essential data wrangling tools: Python, data structures, NumPy, and pandas. Gain hands-on experience in manipulating, cleaning, and analyzing data for effective preparation and valuable insights.

• Coursera
• 1 day 2 hours 41 minutes
• On-Demand
• Free Online Course (Audit)

Identifying Patient Populations

39 ratings at Coursera

Learn computational phenotyping to identify patient populations using clinical data types, data manipulations, and algorithm selection. Develop skills to create algorithms for diseases like diabetes and hypertension.

• Coursera
• 13 hours 25 minutes
• On-Demand
• Free Online Course (Audit)

Functional Programming in Scala Capstone

544 ratings at Coursera

Develop a large-scale, interactive data visualization application for global temperature trends using functional programming in Scala and real-world weather station data.

• Coursera
• 1 day 8 hours 3 minutes
• On-Demand
• Free Online Course (Audit)