How to become a Data Analyst?
Becoming a data analyst involves developing a strong foundation in data manipulation, statistical analysis, and data visualization.
Here are the key tools and technical skills you’ll need:
- Excel: For data cleaning, analysis, and visualization.
- SQL: To query and manage databases (essential for working with large datasets).
- Statistical knowledge: Understanding descriptive and inferential statistics (mean, median, standard deviation, hypothesis testing).
- Data cleaning: Ability to preprocess raw data for analysis (handling missing values, outliers, etc.).
Data Visualization Tools:
- Power BI or Tableau: To create dashboards and visual reports.
- Google Data Studio: Free tool for creating reports and dashboards.
Programming Languages:
- Python : For data manipulation, analysis, and automation (using libraries like pandas, NumPy, matplotlib, seaborn).
- SQL: Writing queries to extract and manipulate data from relational databases.
Tech booster has designed all the courses to equip you with the specific skills or certifications needed to excel in [industry/job role].
Here’s what you can expect from the course:
- Expert instruction from industry professionals
- Hands-on experience and real-world applications
- Flexible learning schedules and online access
- A recognized certificate upon completion
So, roll up your sleeves, dive into data, and start shaping your career today. The world of data analysis is waiting for you!
