Data Science with Python 3.x
Enhance your programming skills and master data exploration and visualization in Python. Learn advanced techniques and tools for efficient data analysis and gain insights from real-world datasets. Join this practical course to unlock the power of Python for data science and machine learning.
What you’ll learn
- Enhance your programming skills and master data exploration and visualization in Python
- Learn multidimensional analysis and reduction techniques
- Master advanced visualization techniques (such as heatmaps) for better analysis and rapidly broaden your understanding
- Retrieve data from different data sources (CSV, JSON, Excel, PDF) and parse them in Python to give them a meaningful shape
- Perform statistical analysis using in-built Python libraries
- Understand the concept of Block algorithms and how Dask leverages it to load large data.
- Implement various example using Dask Arrays, Bags, and Dask Data frames for efficient parallel computing
- Combine Dask with existing Python packages such as NumPy and Pandas
- Implement an end-to-end Machine Learning pipeline in a distributed setting using Dask and scikit-learn
- Visualize and gain insights into real-world datasets via different chart types using Matplotlib
Python is an open-source community-supported, general-purpose programming language that, over the years, has also become one of the bastions of data science. Thanks to its flexibility and vast popularity that data analysis, visualization, and machine learning can be easily carried out with Python.
This practical course is designed to teach you how to perform data science tasks such as data analysis, data manipulation, and data visualization. You will begin with performing data analysis on real-world datasets. You will then work on large datasets and perform exploratory data analysis to investigate the dataset and to come up with the findings from it.You will also learn to scale your data analysis and execute distributed data science projects right from data ingestion to data manipulation and visualization using Dask. Next, you will explore Dask frameworks and see how Dask can be used with other common Python tools such as NumPy, Pandas, matplotlib, Scikit-learn, and more. Finally, you will perform data visualization using Python and Matplotlib 3.
By the end of this course, you will be able to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms.
Meet Your Expert(s):
We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:
Mohammed Kashif works as a Data Scientist at Nineleaps, India, dealing mostly with graph data analysis. Prior to this, he worked as a Python developer at Qualcomm. He completed his Master’s degree in Computer Science from IIT Delhi, with a specialization in data engineering. His areas of interest include recommender systems, NLP, and graph analytics. In his spare time, he likes to solve questions on StackOverflow and help debug other people out of their misery. He is also an experienced teaching assistant with a demonstrated history of working in the Higher-Education industry.
Jamshaid Sohail is a Data Scientist who is highly passionate about Data Science, Machine learning, Deep Learning, big data, and other related fields. He spends his free time learning more about the field and learning to use its emerging tools and technologies. He is always looking for new ways to share his knowledge with other people and add value to other people’s lives. He has also attended Cambridge University for a summer course in Computer Science where he studied under great professors and would like to impart this knowledge to others. He has extensive experience as a Data Scientist in a US-based company. In short, he would be extremely delighted to educate and share knowledge with other people.
Harish Garg is a co-founder and software professional with more than 18 years of software industry experience. He currently runs a software consultancy that specializes in the data analytics and data science domain. He has been programming in Python for more than 12 years and has been using Python for data analytics and data science for 6 years. He has developed numerous courses in the data science domain and has also published a book involving data science with Python, including Matplotlib.
Who this course is for:
- This course is for Python developers, data analysts, and IT professionals who wish to explore the world of data science by performing data analysis, data wrangling, data manipulation, and data visualization on their own datasets.
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