�� Links to the mentioned project videos:
1. Analyzing monthly expenses (in R) �� https://www.youtube.com/watch?v=qjLHX3RCayI &t=434s
2. Youtube API (Python) �� https://www.youtube.com/watch?v=D56_Cx36oGY &list=PLbHrOSWG7nVN1z4XoLX7_RC-WkgZHc3tnV &index=3
3. Witcher books network analysis (Python) �� https://www.youtube.com/watch?v=fAHkJ_Dhr50 &list=PLbHrOSG7nVN1z4XoLX7_RC-WkgZHc3tnV &index=9
4. Creating interactive dashboard (Python) �� https://www.youtube.com/watch?v=uhxiXOTKzfs &list=PLbHrOSG7nVN1z4XoLX7_RC-WkgZHc3tnV &index=2
5. Analyzing audio data with AssemblyAI API (Python) �� https://www.youtube.com/watch?v=B11nK1QCPRA &list=PLbHrOSG7nVN1z4XoLX7_RC-WkgZHc3tnV &index=10
6. Analyzing Data science books dataset (Python) �� https://www.youtube.com/watch?v=N0o-Bjiwt0M &list=PLbHrOSG7nVN1z4XoLX7_RC-WkgZHc3tnV &index=11

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✅ About Course
This Data Science course, in collaboration with IBM, accelerates your career in Data Science and provides you with the world-class training and skills required to become successful in this field. The course offers extensive training on the most in-demand Data Science and Machine Learning skills with hands-on exposure to key tools and technologies, including Python, R, Tableau, and concepts of Machine Learning. Become a Data Scientist by diving deep into the nuances of data interpretation, mastering technologies like Machine Learning, and mastering powerful programming skills to take your career in Data Science to the next level.
This joint partnership between Simplilearn and IBM introduces students to an integrated blended learning approach, making them experts in data science. This Data Science course, in collaboration with IBM, will help students become industry-ready for top data scientist job roles.

✅ Skills Covered
– Gain an in-depth understanding of data structure and data manipulation
– Understand and use linear and non-linear regression models and classification techniques for data analysis
– Obtain an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
– Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
– Gain expertise in mathematical computing using the NumPy and Scikit-Learn packages
– Master the concepts of recommendation engine and time series modeling and gain practical mastery over principles, algorithms, and applications of machine learning
– Learn to analyze data using Tableau and become proficient in building interactive dashboards

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About Data Science with Python Certification Course:
Ranked #1 Data Science program by Economic Times
The Data Science with Python certification course provides a complete overview of Python’s Data Analytics tools and techniques. Learning Python is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlock your career as a Data Scientist.

Data Science with Python Course Overview:
The Python Data Science course teaches you to master the concepts of Python programming. Through this Data Science with Python certification training, you will learn Data Analysis, Machine Learning, Data Visualization, Web Scraping, & NLP. Upon course completion, you will master the essential tools of Data Science with Python.

Data Science with Python Training Key Features:
✅ 100% Money Back Guarantee
✅ 68 hours of blended learning
✅ 4 industry-based projects
✅ Interactive learning with Jupyter notebooks labs
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✅ Dedicated mentoring session from faculty of industry experts

Benefits
Data Science is an evolving field and Python has become a required skill for 46-percent of jobs in Data Science. The demand for Data Science professionals will grow an estimated 1581-percent by 2020 and professionals with Python skills will have an additional advantage.

Eligibility for this Data Science with Python course:
The demand for Data Science with Python programming professionals has surged, making this course well-suited for participants at all levels of experience. This Data Science with Python course is beneficial for analytics professionals willing to work with Python, Software, and IT professionals interested in the field of analytics, and anyone with a genuine interest in Data Science.

Pre-requisites for this Data Science with Python course:
To best understand the Python Data Science course, it is recommended that you begin with the courses including, Introduction to Data Science in Python, Math Refresher, Data Science in Real Life, and Statistics Essentials for Data Science. These courses are offered as free companions with this training.

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Anna-Marie Slot, Global Sustainability Partner, Ashurst, and Darshna Shah, Lead Data Scientist at Elastacloud, talk about why a multi-disciplinary group brings SF.Live to life.

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