The Data Literacy Course: Learn How to Work With Data
What you'll learn
- Acquire Data Literacy
- Learn from a Professional with a Proven Track Record and Valuable Experience
- Master the Language of Data
- Interpret Data Professionally
- Become Familiar with Modern Business Analytics Techniques
- How to Use Data to Improve Business Decisions
- Advance Your Career
- Make Better and Faster Decisions Using Data
- Employ Data Effectively
- Uncover Findings and Insights Independently
- No Prior Experience is Required. The Course Is Suitable for Beginners
Being data literate means having the necessary competencies to work with data.
Regardless of your field of expertise – if you want a rewarding career path – you will certainly benefit from these skills.
Any manager or business executive worth their salt is able to articulate a problem that can be solved using data.
So, if you want to build a successful career in any industry, acquiring full data literacy should certainly be one of your key objectives.
Someone who is data literate would have the ability to:
o Articulate a problem that can potentially be solved using data
o Understand the data sources involved
o Check the adequacy and fitness of data involved
o Interpret the results of an analysis and extract insights
o Make decisions based on the insights
o Explain the value generated with a use case
You will acquire all these skills by taking this course. Together, we will expand your quantitative skills and will ensure you have a solid preparation.
The course is organized into four main chapters. First, you will start with understanding data terminology – we will discuss the different types of data, data storage systems, and the technical tools needed to analyze data.
Then, we will proceed with showing you how to use data. We’ll talk about Business Intelligence (BI), Artificial Intelligence (AI), as well as various machine and deep learning techniques.
In the third chapter of the course, you will learn how to comprehend data, perform data quality assessments, and read major statistics (measures of central tendency and measures of spread).
We conclude this course with an extensive section dedicated to interpreting data. You will become familiar with fundamental analysis techniques such as correlation, simple linear regression (what r-squared and p-values indicate), forecasting, statistical tests, and many more.
By the end of the course, you will learn how to understand and use the language of data.
Your instructor for this class will be Olivier Maugain. Very few online courses are taught by people with his professional track record. Olivier has worked in various industries, such as software distribution, consulting, and consumer goods. In his current role as Decision Intelligence Manager at a major European retailer, he supports the organization in making better and faster decisions using data.
You’re about to enroll in a course that can boost your entire career!
What are you waiting for?
Click the ‘Buy Now’ button and let’s start this exciting journey today!
Who this course is for:
- People Who Want a Successful Career in Business
- Business Executives
- Ambitious Managers
- Business Intelligence Analysts
- Business Analysts
- Financial Analysts
- Anyone Who Wants to Understand How to Measure Business Performance
365 Careers is the #1 best-selling provider of business, finance, and data science courses on Udemy. The company’s courses have been taken by more than 1,750,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.
Currently, the 365 focuses on the following topics on Udemy: 1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA
2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics, Data literacy, Product Management, Pandas, Numpy, Python Programming, Data Strategy
3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing
4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook
5) Blockchain for Business
All of our courses are:
- Real-life tested
By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.
If you want to become a financial analyst, a data scientist, a business analyst, a data analyst, a business intelligence analyst, a business executive, a finance manager, an FP&A analyst, an investment banker, or an entrepreneur365 Careers’ courses are the perfect place to start.
A French citizen born in The Netherlands, Olivier grew up in Germany and studied Business Administration in Switzerland and Hungary, graduating from the University of St. Gallen. During his doctoral research about multicultural R&D teams, he examined the performance the world's most preeminent particle physicists at the Large Hadron Collider in Geneva.
He moved to China in 2003, where he successfully developed various entrepreneurial ventures in software distribution. As CEO at AsiaAnalytics (formerly SPSS China, co-founded in 2006), he turned the company from an SPSS Inc. (now IBM) Master Distributor into a leading provider of analytics consulting services. He also gained experience in the finance (Deloitte), advertising (Publicis Media), FMCG and chemical (Henkel) industries. In his current role at a major European retailer, Olivier is supporting the company's digital transformation by driving the adoption of data in decision making.
Olivier has worked on projects delivering solutions for media planning and buying, CRM, loyalty programs, marketing efficiency, consumer insights, product development, operations optimisation, business modelling, etc.