Data Science for Beginners: Your Step-by-Step Guide To Start, Mastering Data Science Basics – Navigate your career path, harness Excel for analytics, and dive into SQL fundamentals.
What you”ll learn:
- Acquire a comprehensive understanding of the data science landscape, including key roles, industries, and opportunities for career advancement.
- Master the core functionalities of Excel for business analytics, from basic worksheet operations to advanced formatting techniques.
- Set up and navigate MySQL proficiently, laying the groundwork for effective database management and SQL operations.
- Delve deep into SQL fundamentals, mastering data types and essential commands to ensure efficient database creation and management.
Course Description
This course is meticulously designed to ensure a smooth learning journey for beginners in data science. We have carefully sequenced the sections to provide a natural progression from understanding the career landscape of data science to hands-on practical training on fundamental tools such as Excel and SQL.
As students progress through the course, they will gain confidence in navigating Excel, the world’s most popular spreadsheet software, and be able to leverage it for various business analytics tasks. By mastering the core features such as formatting cells, applying the format painter, and understanding the various types of references, learners will be equipped to handle and analyze data effectively.
The concluding section offers learners an immersion into SQL, the ubiquitous language used for interacting with databases. Participants will gain firsthand experience in installing MySQL, creating and managing databases, working with different data types, and enforcing constraints on tables.
On the whole, this course serves as a stepping stone for those who aspire to start their journey in data science. It equips learners with the necessary foundation and skills to confidently explore more complex topics and techniques in the future, opening a gateway to exciting career opportunities in the dynamic field of data science. The course promises a blend of theoretical knowledge and hands-on experience to ensure that learners are well-prepared to enter the world of data science.
