Published 06/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 51 lectures (38h 11m) | Size: 18.9 GB
Learn to use Python for data analysis & visualization in this hands-on guide to programming for data science
What you’ll learn
Start coding in Python and learn how to use it for statistical analysis
Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistic
Perform linear and logistic regressions in Python
Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could
Impress interviewers by showing an understanding of the data science field
Apply your skills to real-life business cases
You will build a portfolio of data science projects with real world data.
Learn Pandas for data manipulation with Python.
Explore how to deploy your machine learning models as interactive APIs.
Carry out cluster and factor analysis
Learn to use Seaborn for statistical plots
Get set-up quickly with the Anaconda data science stack environment.
Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
Unfold the power of deep neural networks
Requirements
No prior experience is required.
Description
In the 21st century, data scientists are poised to become one of the most valuable workers in the workforce. There are many possible explanations for this, including the rise of big data and the increase in demand for data analysis.
However, demand has been outpacing supply. College graduates have had trouble finding jobs as data scientists.
Most online courses focus on a specific topic. It is difficult to see how a specific skill the online course teaches will fit in the broader picture of your career.
You will learn how to use Python to analyze data, visualize it, and use powerful machine learning algorithms during this comprehensive course!
Glassdoor ranks data scientist as the number one job and indeed says that the average data scientist salary in the United States is over $120,000. A career in data science allows you to solve the most fascinating problems of our time!
Both beginners with some experience in programming and experienced developers who want to move into Data Science will benefit from this course!
This comprehensive course includes the following topics
Programming with Python
NumPy with Python
Using pandas Data Frames to solve complex tasks
Use pandas to handle Excel Files
Web scraping with python
Connect Python to SQL
Use matplotlib and seaborn for data visualizations
Use plotly for interactive visualizations
Machine Learning with SciKit Learn, including
Linear Regression
K Nearest Neighbors
K Means Clustering
Decision Trees
Random Forests
Natural Language Processing
Neural Nets and Deep Learning
Support Vector Machines
and much, much more!
Who this course is for
Beginner Python developers curious about Machine Learning and Data Science with Python
This course is for you if you want a great career in AI.
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