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

Posted By: Sigha

Become a Data Analyst - (Python, Excel, SQL, Power BI )
2024-01-29
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (UK) | Size: 4.31 GB | Duration: 10h 12m

Get Real World Data Analyst Skills with Hands-on Practice

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

Requirements
Basic knowledge of Excel advised
Basic knowledge of database concepts advised
Basic knowledge of SQL advised
Basic knowledge of Python advised

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.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 policiesidentify areas to increase efficiency and automation of processesset up and maintain automated data processesidentify, evaluate and implement external services and tools to support data validation and cleansingproduce and track key performance indicatorsdevelop and support reporting processesmonitor and audit data qualityliaise with internal and external clients to fully understand data contentgather, understand and document detailed business requirements using appropriate tools and techniquesdesign and carry out surveys and analyse survey datamanipulate, analyse and interpret complex data sets relating to the employer's businessprepare reports for internal and external audiences using business analytics reporting toolscreate data dashboards, graphs and visualisationsprovide sector and competitor benchmarkingmine and analyse large datasets, draw valid inferences and present them successfully to management using a reporting toolIn 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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