What you would learn in DS4B 101-P: Python for Data Science Automation course?
Python to Data Science Automation is an original course that teaches data analysts how to transform business processes into Python-based automating data science. The course is based on two fundamental tenets:
Businesses are moving routine processes into automated processes to cut down on errors, increase scale, and make readily available data-related products.
The student (the participant) will undergo a complete transformation. Learning the latest abilities that allow you to automate the business processes of your company.
Python for data science automation was explicitly designed for business analysts who need to master Python to automate repetitive tasks and create programs for data analysis. This includes:
BI Professions Analysts who use Business Intelligence (BI) tools such as Excel, Power BI, and Tableau who want to elevate their expertise to a higher level
Users of the R Language: Data Scientists and Analysts who are using the R Language. R Language but need to be able to Python for business to integrate into Python teams.
Python Beginning: Students that need to master Python analytical programming by taking an introductory course for business professionals.
This is a class that is based on a project. The team you are on is the team that works on data science for a potential bicycle maker. The team has been tasked by management with extending the forecast reporting by products, customers, and various durations. This requires a degree of flexibility not yet available in the traditional business process. It is necessary to master Pandas and Python and the Python ecosystem to automate the forecasting process.
Why yourself or perhaps your employee(s) follow this course?
Enhance the effectiveness of your organization. Organizational results improve by making data-driven choices. This course will teach students how to complete an end-to-end data science project, with executive deliverables from the project. Students learn how to do data analyses, become proficient in programming, create Python software, and, more importantly, deliver findings in data and reports that decision-makers can utilize to improve their results.
Gain competitive advantages. Data is increasing more rapidly than the number of people who can analyze it. Understanding how to use Python is the way to go. Students will learn the in-depth analysis of data helping your business keep ahead of the pack.
Automate to minimize errors and speed up routine jobs. Not only will students be taught the tools required for data analysis as well, but they will also be taught how to automate business processes, which reduce errors and provide results to stakeholders upon demand.
Let stakeholders make better decision-making. Whether the end-user is a client or the executive of your company, Students will learn to develop data-driven products that assist end-users in making better decisions with the speed of Python.
A summary of what you will receive
Part 1. Foundations of Data Analysis
Part 2 Time Series and Forecasting
Part 3: Reporting and Automation
Challenges, Diagrams, & Cheat Sheets
Certificate (Upon successful completion)
2 Bonuses of Value Automate Python scripts with Windows Task Scheduler and Mac Automator
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