Introduction
According to Workforce Skills Gap Trends 2024 survey report, 70% of leaders have stated that there is a critical skill gap in their organizations, and it is having a significant negative impact on their organizational performance and development. Additionally, according to Deloitte research, 98% of executives are continuously moving toward a “SKILL BASED MODEL” in their organizations to safeguard their positions in the competitive and agile world. These points strongly indicate that the current student community needs to focus more on skill-based categories. Upon reading the above-mentioned points, a crucial question arises in students' minds: What type of skills should they focus on? The answer is “DATA ANALYTICAL SKILLS”. Students should train themselves to work with numbers from the early stages of their college life. The primary reason for emphasizing this skill is that, today, organizations are generating vast amounts of data across all their functions, and they are struggling to convert that data into actionable insights for their business strategies. The major obstacle is “Skill Gap”. Organizations believe that these skill gaps are hindering their innovation and growth.
How to improvise DATA ANALYTICAL SKILLS from scratch:
I want to give some simple parameters to help create interest in numbers and enhance the data analytical skills of student communities.
- Note down your daily study hours and the hours spent by you on your mobile phone. You can do a correlation analysis using a simple Microsoft EXCEL to find the relationship between the two data. Under correlation there are 3 types: positive, negative, and no correlation.
- If you get a positive correlation, it implies that if study hour increases, mobile phone usage also increases.
- If you get a negative correlation, it might suggest that more mobile phone usage is associated with less study time or vice versa.
- If there is no correlation, it reflects that there is no relationship between the two variables.
- If your points start rising from the left side to the right side it may be interpreted as a positive correlation.
- If the points start falling from the left side to the right side it may be interpreted as a negative correlation.
- If the points are scattered randomly, it may indicate no significant relationships.
- Data analytics will never make you tired or bored; instead, it provides extensive statistical learning in an innovative way that enhances your skills to meet industrial needs and positively shapes your career.
- The future is eagerly waiting for those who can convert all types of DATA into actionable insights. So, the sky is the limit- start today, play with numbers, and fill your career life with winning strategies.
1. Experiment with your daily activities Data:
Start with a small dataset.Example:
2. Visualize your Data:
If you convert numbers into a visual representation format, it will be more interesting to interpret. Create graphs, charts, and scatter plots. For example, you can use the same example of study hours and mobile phone usage hours. By using EXCEL, you can create a scatter plot (visual representation) for your data.
In that visual Diagram,
3. Start with fun Datasets:
The world is at your fingertips in the form mobile phone. Using it, you can download numerous interesting datasets like movie ratings, Twitter content, Amazon reviews, etc., and begin updating your analytical skillset. “Kaggle” is a useful website that offers millions of free datasets for students to experiment with and interpret.
4. Make use of many free tools:
Many tools like Google sheet, excel and platforms like Khan Academy, Data Camp, etc., give free and user-friendly resources to help you start your data journey with full interest.
TO REMEMBER