Tutorials > Data Analytics And Business Intelligence - Why And How

Data Analytics And Business Intelligence - Why And How

Date: 20 January 2025 | Posted by: 0nelove

Data Analytics And Business Intelligence - Why And How?
Published 1/2025
Created by Celeste Pozzi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 104 Lectures ( 6h 22m ) | Size: 5.5 GB
LEARN HOW TO READ,CLEAN,ANALYZE AND VISUALIZE DATA USING EXCEL, SQL,PYTHON,TABLEAU,SEABORN,STATISTICS,MATPLOTLIB

What you'll learn
Foster critical thinking and problem solving abilities through hands-on projects and real-world case studies
Equip students with essential skills in data manipulation and analysis and using tools like Python, Excel, SQL, Tableau and Statistics for data visualization
To familiarize students with predictive analytics , forecasting and trend analysis, correlations, statistics and more
Teach effective data visualization techniques to communicate insights clearly and persuasively to various audiences
Emphasize data visualization and techniques to clearly convey insights and findings to stakeholders
To guide students in creating a portfolio of projects scratch that showcase their analytical skills and knowledge to potential employers
To guide students for careers in data analytics by equipping them with the necessary skills, knowledge and practical experience to
succeed in a data-driven world.
At the end of this course you will have your time to shine by making your own portfolio to showcase what you learn from this course.
To build your confidence in reading, analyzing data and work effectively in a fast phase environment.
Requirements
Familiar with Excel, MYSQL, Python/Jupiter Notebook, Tableau,Matplotlib,Seaborn
Basic Math, Analytical Mind, Problem-solver driven, Curiosity,
Computer or laptop and internet services
Excel, MYSQL, Pandas Jupiter Notebook, Tableau tools, these are all free and downloadable
No programming experience needed.
Description
Foster critical thinking and problem solving abilities through hands-on projects and real-world case studiesEquip students with essential skills in data manipulation and analysis and using tools like Python, Excel, SQL, Tableau and Statistics for data visualization such MATPLOTLIB AND SEABORNTo familiarize students with predictive analytics , forecasting and trend analysis, correlations, statistics and moreTeach effective data visualization techniques to communicate insights clearly and persuasively to various audiencesEmphasize data visualization and techniques to clearly convey insights and findings to stakeholdersTo guide students in creating a portfolio of projects scratch that showcase their analytical skills and knowledge to potential employersTo guide students for careers in data analytics by equipping them with the necessary skills, knowledge and practical experience to succeed in a data-driven world.At the end of this course you will have your time to shine by making your own portfolio to showcase what you learn from this course.To build your confidence in gathering, reading, analyzing and visualizing data and work effectively in a fast phase environment.Are there any course requirements or prerequisites?Familiar with Excel, SQL, Python/Jupiter Notebook, TableauBasic Math, Analytical Mind, Problem-solver driven, CuriosityWELCOME and THANK YOU very much for taking this course. I am really excited to have you here and learn the world of data. Think of my logo, RUBIX CUBE, it seems complicated at first but the more you are familiar with the Issues and Techniques the easier it becomes. So relax and enjoy the course.
Who this course is for
Beginner in Data analytics and curious of the following
To see the actual/day to day job of a data analyst
To advance or shift their careers in data-driven world
To see how technology is being use to manipulate tons of data
Business driven and loves the logic of statistical world.
Enjoy problem solving, curious and think outside the box.
Curious how software change our technologies for advancements
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