Pandas for Data Wrangling Core Skills for Data Scientists

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Description of Pandas for Data Wrangling Core Skills for Data Scientists

Master data analysis with Pandas and Python through hands-on projects and real-world case studies.
What you'll learn:
Data manipulation techniques using libraries like pandas in Python.
Statistical analysis methods for exploring and understanding datasets.
Machine learning algorithms and their applications for predictive modeling.
Data visualization techniques to effectively communicate insights.
Programming skills in Python and R languages.
Proficiency in using libraries such as NumPy, Matplotlib, scikit-learn, and TensorFlow.
Hands-on experience through projects and case studies.
Practical application of learned concepts to real-world data science problems.
Requirements:
Students should have a basic understanding of programming concepts, preferably in Python, and a fundamental grasp of mathematics and statistics.
Description:

Who this course is for:

Individuals with a passion for data analysis and a desire to acquire essential skills in data science.
Students seeking to enhance their knowledge and proficiency in data manipulation, visualization, and analysis.
Professionals aiming to transition into data-related roles or advance their careers in data science.
Anyone looking to develop practical skills in statistical analysis, machine learning, and data-driven decision-making.