Introduction to Data Science - Certification
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and information from noisy, structured, and unstructured data, and apply knowledge from the data in a wide range of application domains. Data science is related to data mining, machine learning, and big data.
Data science is a "concept for unifying statistics, data analysis, computer science, and their related methods" to "understand and analyze real phenomena" with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and the knowledge domain. However, data science is different from computer science and information science. Turing Award winner Jim Gray envisioned data science as a "fourth paradigm" of science (empirical, theoretical, computational, and now data-driven) and stated that "everything about science is changing due to the impact of information technology "and the deluge of data.
A data scientist is someone who creates programming code and combines it with statistical knowledge to create insights from data.
Data Science Free Course for Beginners
This free Data Science course will help you understand the basics and how to become a Data Scientist in 2021. You will learn the top Python libraries for Data Science, some of the essential Data Science algorithms, and the top Data Science jobs, skills, and salary trends. Get all the information you need to embark upon your learning journey as a Data Science professional.
Skills you will learn
- Exploratory data analysis
- Descriptive statistics
- Inferential statistics
- Model building and fine tuning
- Supervised and unsupervised learning
- Natural language processing
- Ensemble learning
What you will learn
Introduction to Data Science
Introduction
Introduction Datascience
Lesson 01: Data Science In 5 Minutes
Lesson 02: What is Data Science?
Lesson 03: Top 5 Python Libraries
Lesson 04: Linear Regression Analysis
Lesson 05: Logistic Regression
Lesson 06: Confusion Matrix
Lesson 07: Decision Tree in Machine Learning
Lesson 08: Random Forest
Lesson 09: Support Vector Machine
Lesson 10: K Means Clustering
Lesson 11: Dimensionality Reduction
Lesson 12: How To Become A Data Scientist In 2021
Lesson 13: Data Science Jobs Skills Salary
Lesson_14: Data Science Engineer Resume
Lesson 15: Data Science Interview Questions
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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