Become a Data Analyst – (Python, Excel, SQL, Power BI ) | Udemy

Become a Data Analyst – (Python, Excel, SQL, Power BI ) | Udemy
English | Size: 3.31 GB
Genre: eLearning

What you’ll learn
Perform data analysis & visualization with Python
Perform data analysis & visualization with Excel
Perform data exploration and analysis with SQL
Perform data analysis & visualization with Power BI
Write SQL Queries to explore and analyse data
Connect to multiple data sources with Power BI
Clean & transform data
Create Dashboards with Power BI
Write SQL temporary table queries to extract and query data
Write SQL CTE queries to extract and query data

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.

Data analysts are in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education.

The ability to pay attention to detail, communicate well and be highly organised are essential skills for data analysts. They not only need to understand the data, but be able to provide insight and analysis through clear visual, written and verbal communication.

Some responsibilities of a data analyst includes:

Developing records management processes and policies

identify areas to increase efficiency and automation of processes

set up and maintain automated data processes

identify, evaluate and implement external services and tools to support data validation and cleansing

produce and track key performance indicators

develop and support reporting processes

monitor and audit data quality

liaise with internal and external clients to fully understand data content

gather, understand and document detailed business requirements using appropriate tools and techniques

design and carry out surveys and analyse survey data

manipulate, analyse and interpret complex data sets relating to the employer’s business

prepare reports for internal and external audiences using business analytics reporting tools

create data dashboards, graphs and visualisations

provide sector and competitor benchmarking

mine and analyse large datasets, draw valid inferences and present them successfully to management using a reporting tool

In this course we will perform some task of a Data Analyst using Python ,Excel, SQL, and Power BI. We will connect to a variety of data sources, perform data transformation ,cleaning and exploration . We will create dashboards to visual data .

Who this course is for:
Beginner Data Analyst
Beginner Data Scientist

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