Courses of Data Analytics
Data Analysis is the key for many major sectors including investment banking, banking, IT, accounting, marketing, and consulting. We can then manage a large amount of complex data to interpret meanings, Companies, therefore, can formula strategies based on the data.
Our teaching style
We study IT languages for data analysis. The common and vital languages includeC++, Python, SQL, Java, Power BI, Tableau, Excel VBA, and Excel formulas. We will start to look into IT concepts starting from the easiest one.
More importantly, I will share with you the logic of these languages rather than just memorizing all the techniques. Understanding the logic behind matters.
Our courses are for all students who have no IT background and knowledge.
Teaching apporach
Our teaching approach is a mix of theories and practice in IT and banking fields.
Programming Theories & Logic
We study important concepts such as the nature of data, data visualization, and data manipulation.
Practicing
Whenever we study a new concept, we will look into questions for practicing
Real Case Studies
We will have lots of actual business cases. Based on these cases, we can build our own programs for data analysis.
Notes used fordata visualization using Python.
Notes used foradvanced statistical analysis using Python。 They are important in the banking and research field.
