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✅ @sqlspecialist - Data Analysts Community
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𝗛𝗮𝗿𝘃𝗮𝗿𝗱’𝘀 𝗙𝗿𝗲𝗲 𝗧𝗲𝗰𝗵 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 – 𝗟𝗲𝗮𝗿𝗻 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗕𝗲𝘀𝘁!😍
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Review Fundamental Concepts: Ensure you have a strong grasp of statistics, probability, linear algebra, data structures, algorithms, and programming languages like Python, R, and SQL.
Refresh Machine Learning Knowledge: Familiarize yourself with various machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
Practice Coding: Sharpen your coding skills by solving data science-related problems on platforms like HackerRank, LeetCode, and Kaggle.
Build a Project Portfolio: Showcase your proficiency by creating a portfolio highlighting projects covering data cleaning, wrangling, exploratory data analysis, and machine learning.
Hone Communication Skills: Practice articulating complex technical ideas in simple terms, as effective communication is vital for data scientists when interacting with non-technical stakeholders.
Research the Company: Gain insights into the company's operations, industry, and how they leverage data to solve challenges.
🧠👍By adhering to these guidelines, you'll be well-prepared for your upcoming data science interview. Best of luck!
Hope this helps 👍❤️:-)
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🚀 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗷𝘂𝗺𝗽𝘀𝘁𝗮𝗿𝘁 𝘆𝗼𝘂𝗿 𝗰𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 ,𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗔𝗜?
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𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
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Learn from top faculty & experts - Become a skilled professional
- Learn from the best
- Learn by doing
- Learn with AI
Get FREE Course Review & Start Learning
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https://pdlink.in/41VIuSA
Enroll Now & Get a course completion certificate🎓