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Data Analyst Skills for beginners - (SQL,R,Python,Power BI )
Rating: 4.3 out of 5(96 ratings)
1,443 students

Data Analyst Skills for beginners - (SQL,R,Python,Power BI )

Gain skills you need to succeed as a data analyst.
Created byBluelime Learning Solutions
Last updated 3/2026
English

What you'll learn

  • Connect to various data sources
  • Clean and transform data
  • Perform exploratory data analysis
  • Manipulate data using data frames
  • Create visualizations from data
  • Analyse data with SQL
  • Analyse data with Python
  • Analyse data with Power BI
  • Analyse data with R

Course content

7 sections • 96 lectures • 8h 43m total length

  • Introduction0:20
  • What is R
  • Installing R on Windows2:01
  • Installing R on Macs0:01
  • What is R Studio
  • Installing R Studio on Windows1:50
  • Installing R Studio on Macs0:01
  • Creating a new project in R Studio5:34
  • Exploring R Studio Default Interface9:32
  • What are Packages0:42
  • How to install Packages4:19
  • Data sets vs Data frames0:17
  • Loading Packages6:38
  • Importing data into R Studio5:44
  • How to read data in a csv file with R6:28
  • Installing Janitor Package3:30
  • Cleaning columns11:18
  • Selecting a subset of data4:53
  • Performing multiple operations using Pipe operator9:36
  • Creating new columns from existing columns10:00
  • Create a new R Project5:02
  • Load data into new project6:08
  • What is Data Wrangling0:26
  • Data Wrangling steps1:35
  • Importance of data wrangling0:35
  • Perform Data Wrangling on Data12:25
  • Create a scatter plot6:37
  • Create a bar graph8:39
  • Adding Labels to plots7:52

Requirements

  • No prior coding experience required.

Description

Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

A data analyst collects, organises and studies data to provide business insight.

Data analyst applies various tools and  techniques for data analysis and data visualisation (including the use of business information tools)  to identify, collect and migrate data to and from a range of systems manage, clean, abstract and aggregate data alongside a range of analytical studies on that data manipulate and link different data sets summarise and present data and conclusions in the most appropriate format for users.


R is a programming language. R is often used for statistical computing and graphical presentation to analyse and visualize data. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible.


SQL (Structured Query Language) is a programming language designed for managing data in a relational database. It's been around since the 1970s and is the most common method of accessing data in databases today. SQL has a variety of functions that allow its users to read, manipulate, and change data.

Python is a popular programming language. Python can be used on a server to create web applications and also for data analysis and visualization.  Analysing data with Python is an essential skill for Data Scientists and Data Analysts .

Power BI is a cloud-based business analytics service from Microsoft that enables anyone to visualize and analyse data, with better speed and efficiency. It is a powerful as well as a flexible tool for connecting with and analysing a wide variety of data. Power BI also has a desktop version that can be used for data analysis and visualization.


Gain  skills you need to succeed as a data analyst! No prior coding experience required.

Who this course is for:

  • Beginner Data Analyst
  • Beginner Data Scientist

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