Data Science Week Day - 1 | Python & Mathematics For Data Science | Data Science Course |Simplilearn

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Data Science Week Day-1 will teach you Python and Mathematics for Data Science. You will learn the concepts of Python programming such as loops, conditional statements, object-oriented programming, functions and more. This data science course will make you understand the need for probability, statistics, calculus, and linear algebra for data science.

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What is Data Science?
Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models.

Why Python for Data Science?
Python is the most popular programming language for data science and machine learning and provides a collection of libraries such as NumPy, Pandas, matplotlib, scikit learn, etc to analyze data and build prediction models.

Why Mathematics for Data Science?
Mathematics is equally essential for creating efficient models. You need to learn statistics, probability, calculus, and linear algebra for understanding the working of machine learning algorithms.

Why Data Science?
Data science or data-driven science enables better decision making, predictive analysis, and pattern discovery. It lets you:
1. Find the leading cause of a problem by asking the right questions
2. Perform exploratory study on the data
3. Model the data using various algorithms
4. Communicate and visualize the results via graphs, dashboards, etc.

➡️ About Caltech Post Graduate Program In Data Science
This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
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- Earn up to 14 CEUs from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
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- Online convocation by Caltech CTME Program Director
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- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
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- 8X higher interaction in live online classes by industry experts

✅ Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model Building and Fine Tuning
- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization

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