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Description
Python course for Data Mastery: Data Analytics with Top Libraries. Over 100 million terabytes of data will need to be managed and processed in the next few years, and companies like Apple, Amazon, Facebook, Google, and several artificial intelligence companies are willing to pay big dollars to hire skilled workers capable of analyzing and ingesting information. . From this data, immerse yourself in the world of data analysis with our comprehensive course, “Python for Data Mastery”. That helps you become a data unlocking wizard using the most popular and in-demand Python data analysis and visualization libraries used by most companies, such as Numpy, Pandas, Matplotlib, Seaborn, Scipy, and Plotly. Designed to help beginners and seasoned professionals alike, this course bridges the gap between theory and practice, teaching students to manipulate, analyze, and visualize data using Python’s most powerful libraries. . Over hours of carefully crafted content, the course offers countless hands-on assignments that closely resemble real-world scenarios, ensuring that students acquire not only knowledge, but valuable and applicable skills. Our graduates have gone on to advance their careers in data analytics, machine learning, data engineering, and more. Empower your employees today and unlock the true potential of your business data.
- Mastery of popular Python data analysis libraries: Numpy, Pandas, Matplotlib, Seaborn and Plotly.
- Practical skills in data manipulation, analysis, and visualization techniques.
- Application of statistical concepts in data analysis.
- Efficiently manage large data sets and identify patterns and trends to predict trends.
- Create powerful data visualizations and dashboards for reports that speak volumes in the boardroom.
- Write scalable Python code for data analysis that withstands the test of data volume and complexity.
- Transform complex business challenges into analytical solutions that drive decision making.
What you will learn in Python for Data Mastery: Data Analytics with Top Libraries course
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Mastery of popular Python data analysis libraries: NumPy, Pandas, Matplotlib, Scipy, Seaborn and Plotly.
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Practical skills in data manipulation, analysis, and visualization techniques.
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Application of statistical concepts in data analysis.
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Solving business problems by turning them into analytical questions.
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Efficient management of large data sets and identification of patterns and trends.
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Create powerful data visualizations and dashboards for reporting.
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Writing scalable Python code for data analysis.
This course is suitable for people who
- Beginners looking for a solid foundation in Python and data analysis. This includes students and professionals who want to move into a data-focused career.
- Mid-level data analysts or scientists looking to strengthen their Python programming skills and learn new techniques for data analysis and visualization.
- Experienced data science professionals who want to master advanced concepts and stay up-to-date with the latest tools and libraries.
- IT professionals from other fields are looking to diversify their skills in data analysis.
- Business professionals, managers and consultants who want to use data analysis to make better decisions.
- Companies looking to train their workforce in data analytics to maximize the insights gained from their business data.
Details of Python for Data Mastery: Data Analytics with Top Libraries course
- Publisher: Udemy
- teacher: Job Ready Programmer
- Training level: beginner to advanced
- Training duration: 6 hours and 45 minutes
- Number of courses:
Course topics Python for Data Mastery: Data Analytics with Top Libraries on 12/2023
Python for Data Mastery: Data Analytics with Top Libraries course prerequisites
- A computer with Internet access to view course materials and exercises.
- An eagerness to learn and a curiosity-driven mindset!
- Basic understanding of Python. If you’re a beginner, consider my other python course first.
Images of Python for Data Mastery: Data Analytics with Top Libraries course
Sample video of the course
Installation guide
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download link
File(s) password: www.downloadly.ir
Size
2.5 GB
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