Career Guidance 1:1

Understand the Roles: Explore roles like data analyst, data scientist, data engineer, and business intelligence analyst.

Assess Your Interests: Choose the field that excites you—whether coding, machine learning, or business insights.

Learn Fundamentals: Build a strong foundation in statistics, programming (Python, SQL), and data tools.

Certifications: Pursue certifications (Google, AWS, Microsoft) to validate your skills.

Hands-On Experience: Work on data projects, join Kaggle competitions, and gain real-world experience.

Networking: Connect with data professionals via LinkedIn, meetups, and conferences.

Stay Current: Keep up with trends by following industry blogs, podcasts, and webinars.

Work on Projects: Showcase your skills through personal or collaborative data projects.

Focus on Tools: Master tools like Excel, Tableau, and cloud platforms (AWS, GCP).

Target Your Job Search: Tailor your resume to highlight relevant skills and experiences in data analytics.