We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Pearl Prakash - Exploring Tech Career in Data Analytics and Science | PyData Global 2023
Explore the secrets to a successful tech career in data analytics and science, from building a strong resume to staying up-to-date with new tools and technologies, and learn how to stay ahead in the competitive job market.
- Building a strong resume is crucial in data analytics and science: highlight your skills, experience, and achievements.
- Focus on building expertise in one area: this could be a domain, tool, or technology.
- Learn and stay up-to-date with new tools and technologies: continuously update your skills to stay relevant in the market.
- Networking and personal branding are important: build connections and share your experiences to gain visibility.
- Communication skills are essential: learn to effectively communicate your solutions and results.
- Stay proactive in building your career: take initiative and be open to opportunities.
- Industry-wise differences: consider the job market and requirements in the UK and India are slightly different.
- Focus on building a strong foundation in Excel, SQL, and Python: these are essential skills for data analysis and science.
- Learn from others: follow industry leaders and professionals on social media, attend meetups, and network with people in the field.
- Build a personal project or contribute to open-source projects to showcase your skills.
- Highlight your achievements and results in your resume and online profiles.
- Stay curious and keep learning: the data analytics and science field is constantly evolving.