Data Analysis Training & Coaching Courses – Duplicate – [#408]

Teaching the next generation of analysts

Want to become a technical expert in R or Python? Or just improve your understanding of data without getting involved in all this wizardry? Either way, our courses have got you covered.

As data experts, Datacove can train your team in the technical skills they need to process and present data – or simply the softer skills to understand data and its importance in growing your business.

Our data analysis training courses

Current R training courses

We run 2 hour live interactive sessions with small groups with our courses introducing data wrangling in R:

Part 1: Importing data
  • Examining and preparing data for R
  • Reading data from CSV and plain text
  • Using R with Excel spreadsheets
  • Reading other data sources into R
  • Introduction to the tidyverse
  • Tidy data structures

  • Part 2: Data wrangling
    • Manipulating and transforming your data
    • Handling and manipulating text strings
    • Merging datasets
  • Current Python training courses

    We run 2 hour live interactive sessions with small groups with our courses introducing data wrangling in R:

    Session 1: Python Basics
    • Introduces Python and gets you started coding! Covers variables, data types, calculations, and strings.

    Session 2: Data Structures & Control Flow
    • Focuses on essential data structures like lists and control flow with conditions and loops.

    Session 3: Data Manipulation & Analysis
    • Looks at analysing data using Pandas.

    Session 4: Data Visualization & Machine Learning
    • Explores data visualization techniques and introduces machine learning basics.

    Other R, data & analytics, and bespoke training

    We run a number of training courses focusing on popular areas within the R programming language – you can either build a bespoke course or choose from one of our pre-developed topics:

    • R for beginners: Getting started in R studio
    • R for analysts: introducing the tidyverse
    • R for Excel lovers: Editing spreadsheets in R
    • R for R-tists: A masterclass in ggplot2
    • R for lazy people: Automating repetitive tasks with APIs and web scraping
    • R for wordsmiths: A tour of text analytics techniques
    • How to present and visualise data
    • Analytics for marketers
    • Econometrics 101