Become a Data Analyst - (Python, Excel, SQL, Power BI )

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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 .

Bner Data Analyst
Bner Data Scientist

HomePage:

https://anonymz.com/https://www.udemy.com/course/become-a-data-analyst-python-excel-sql-power-bi/

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