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

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