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Introduction to Data Science
Introduction to Data Science
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Introduction to Data Science
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Intermediate
Best selling courses

This free Data Science course by Simplilearn is ideal for beginners, offering a comprehensive 7-hour curriculum. It covers vital topics like Python libraries, statistical analysis, and machine learning. With a 90-day access period and a completion certificate, it's a valuable resource for those aspiring to kickstart their Data Science journey.

Exploratory data analysis
Descriptive statistics
Inferential statistics
Model building and fine tuning
Supervised and unsupervised learning
Natural language processing
Ensemble learning
Introduction to Data Visualization
Introduction to Data Visualization
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Introduction to Data Visualization
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Intermediate
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The Data Visualization basics course will help you learn how to make sense of data by creating informative and engaging reports and dashboards. You will be using tools such as Tableau, Power BI, Excel, R, and Python to generate visualizations. By the end of this course, you will have a clear-cut understanding of how to derive meaningful conclusions from data.

Data visualization principles
Communicating datadriven findings
Using ggplot2 to create customized plots
Applied Data Science with Python
Applied Data Science with Python
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Applied Data Science with Python
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Intermediate
Best selling courses

Home > Data Science & Business Analytics >Free Applied Data Science with Python Course Applied Data Science with Python Free Applied Data Science with Python Course 4.5351395 Learners EnrolledAdvanced Level Embark on a data-driven journey with our free Applied Data Science with Python course. Master Python for data manipulation and analysis, tackle real-world challenges and showcase your skills in a hands-on final project. Join us to unleash the potential of data science and propel your career forward.

Data wrangling
Data visualization
Web scraping
Hypothesis building
Mathematical computing
Data exploration
ScikitLearn package for Natural Language Processing
Python Libraries for Data Science
Python Libraries for Data Science
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Python Libraries for Data Science
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Intermediate
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The Python libraries free course will develop your understanding on how to perform numerical computation, data analysis and data visualization using NumPy, Pandas, and Matplotlib libraries. Once you learn about the Python libraries for data science, next you will explore scikit-learn for model building, Beautiful Soup for web scraping, and TensorFlow.

Scikitlearn
Pandas
Best Python libraries
NumPy
Matplotlib
Beautiful Soup