NumPy Data Science Essential Training With Python 3

NumPy Data Science Essential Training With Python 3

Dive into a comprehensive 12-hour course on NumPy for data science using Python 3. Master essential concepts including array creation, indexing, slicing, broadcasting, and structured arrays. Explore data visualization techniques with Matplotlib, covering pie charts, bar charts, and box plots. Learn advanced topics such as shallow vs. deep copy, array manipulation, linear algebra functions, and statistical analysis with SciPy. Practice with hands-on examples, tackle Python puzzles, and engage in data cleaning, wrangling, and exploratory data analysis using Pandas. Gain insights into hypothesis testing, ANOVA, and machine learning concepts like cross-validation and logistic regression. Understand the fundamentals of data science, 5G technology, and various data-related career paths. Develop skills in creating diverse charts, handling missing values, and performing correlation analyses. Conclude with an introduction to natural language processing using NLTK and advanced data visualization using Plotly Chart Studio. Read more