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Fundamentals of Data Science with Python

Course Reviews

Track :

Programming

Lessons no : 7

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What will you learn in this course?
  • Master data analysis and visualization using Python libraries like Pandas, NumPy, and Matplotlib for real-world datasets
  • Apply SQL queries to extract, manipulate, and analyze data efficiently in data science projects
  • Implement statistical methods and mathematical concepts to interpret data and support data-driven decision making
  • Develop machine learning models using Python libraries such as scikit-learn for predictive analytics
  • Utilize data cleaning and preprocessing techniques to prepare datasets for accurate analysis and modeling
  • Integrate Python, SQL, and statistical skills to solve complex data science problems effectively

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  • You must have an account Register
  • Watch All Lessons
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Lessons | 7


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4.5
26 Reviews
SABARI MARI B 

good
2026-02-12

MATHIBALAN S 

good
2026-02-12

LATHIKA G 

good
2026-02-12

NISHANDHINI A 

good
2026-02-12

MURUGAN M 

good
2026-02-12

RITHISH SUNDARAM R R 

good
2026-02-12

SIVAGANESH C 

nice
2026-02-12

VEERA YOGESHKUMAR V 

nice
2026-02-12

DHARMARAJ G 

NICE
2026-02-12

MUTHU PRATHINA S 

nice
2026-02-12

ARUL PRAKASH S 

good
2026-02-12

SURYA PRAKASH S 

VERY NICE
2026-02-12

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Python may be enough for data science as a programming language, but that does not mean you have to learn only Python. You also need to know other things like SQL, Python libraries, mathematics, and statistics to become a practical ML engineer.