What you'll get
- 38+ Hours
- 9 Courses
- Mock Tests
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Use Pandas and NumPy for data manipulation and analysis
- Apply essential Python skills for data science
- Understand basic statistics for analytics and ML
- Build simple machine learning models
- Work with TensorFlow and neural network basics
- Create visualizations using Matplotlib and Seaborn
- Perform practical data analysis and real-world projects
- Use Anaconda and integrate workflows with Azure Data Lake
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Pandas with Python Tutorial | 5h 42m | ✔ | View Curriculum |
| Numpy and Pandas | 5h 9m | ✔ | View Curriculum |
| Pandas Project | 3h 14m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Machine Learning with Tensorflow for Beginners | 13h 39m | ✔ | View Curriculum |
| Statistics for Data Science using Python | 3h 23m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Applied Data Analytics Using Python | 5h 7m | ✔ | View Curriculum |
| Data Science with Python Project-Predict Diabetes on Diagnostic Measures | 1h 02m | ✔ | View Curriculum |
| Logistic Regression-Predicting the Survival of Passenger in Titanic | 2h 6m | ✔ | View Curriculum |
| Analyzing the Quality of White Wines Using NumPy | 1h 22m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| No courses found in this category. | |||
Description
This comprehensive Pandas and NumPy Course helps you build a strong foundation in data analysis and scientific computing. The course goes beyond basic library use, offering hands-on experience with essential tools, advanced techniques, and real-world applications. Along with Pandas and NumPy, you will explore complementary technologies like Python, TensorFlow, Azure, and data visualization libraries, making this course a complete package for aspiring data professionals.
Throughout the training, you will learn to clean, organize, analyze, and visualize data effectively, while also understanding basic statistical and machine learning concepts used in real-world data work. By the end of this course, you will gain in-demand, industry-ready skills for roles in data science, analytics, machine learning, and AI.
Sample Certificate
Requirements
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Basic understanding of Python programming
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Familiarity with fundamental mathematics and statistics
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A computer with Python/Anaconda installed
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Willingness to learn data analysis and machine learning concepts.
Target Audience
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Beginners and students aspiring to build a career in data science or analytics
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Python developers looking to enhance their data handling and analysis skills
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Data analysts and business analysts want to work efficiently with large datasets
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Machine learning and AI enthusiasts seeking strong foundations in NumPy and Pandas
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Professionals working with data visualization, reporting, or statistical modeling
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Anyone interested in mastering essential data manipulation tools for real-world projects.
