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Results for "introduction to data science in python"
Status: Free TrialDuke University
Skills you'll gain: Data Ethics, R Programming, Web Scraping, Data Visualization Software, Data Visualization, Data Science, Ggplot2, Data Wrangling, Data Analysis, Tidyverse (R Package), Data Manipulation, Statistical Programming, Data Integrity, Data Import/Export, Data Transformation, Exploratory Data Analysis, Data Collection, Data Cleansing, Data Quality, Version Control
Status: Free TrialCorporate Finance Institute
Skills you'll gain: Feature Engineering, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Science, Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Data Literacy, Pandas (Python Package), Machine Learning Algorithms, Financial Analysis, Data Visualization Software, Predictive Modeling, Applied Machine Learning, Statistical Modeling, Statistical Analysis, Predictive Analytics
Status: Free TrialSkills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, Cloud Infrastructure, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Platforms, Large Language Modeling, Machine Learning, Natural Language Processing, Application Programming Interface (API)
Status: Free TrialJohns Hopkins University
Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, Machine Learning, Artificial Intelligence
Status: Free TrialUniversity of Colorado System
Skills you'll gain: Clinical Data Management, Clinical Research, Data Quality, Health Informatics, Biostatistics, Time Series Analysis and Forecasting, Data Analysis, Data Modeling, Data Science, Analytics, Statistical Reporting, R Programming, SQL
University of Pittsburgh
Skills you'll gain:
Coursera Project Network
Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference
Status: Free TrialEdureka
Skills you'll gain: PySpark, Data Pipelines, Data Processing, Data Visualization, Natural Language Processing, Pandas (Python Package), Feature Engineering, Machine Learning, Data Transformation, Supervised Learning, Text Mining, Deep Learning, Scalability, Regression Analysis
Status: Free TrialSkills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Data Visualization Software, Information Privacy
Status: PreviewAssociation of International Certified Professional Accountants
Skills you'll gain: Data Literacy, Data-Driven Decision-Making, Financial Data, Business Analytics, Data Strategy, Analytical Skills, Data Analysis, Project Implementation, Project Scoping, Unstructured Data
Status: Free TrialSkills you'll gain: Prompt Engineering, Generative AI, Data Ethics, Data Cleansing, OpenAI, Data Analysis, ChatGPT, Artificial Intelligence, Data Transformation, Data Quality, Power BI, Exploratory Data Analysis, Anomaly Detection
Status: PreviewUniversity of California, Davis
Skills you'll gain: Data Governance, SQL, Data Quality, Data Manipulation, Database Design, Data Transformation, Query Languages, Data Modeling, Databases, Relational Databases, Data Analysis, Descriptive Statistics
Searches related to introduction to data science in python
In summary, here are 10 of our most popular introduction to data science in python courses
- Data Science with R: Duke University
- Practical Data Science for Data Analysts: Corporate Finance Institute
- Introduction to AI and Machine Learning on Google Cloud: Google Cloud
- Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
- Advanced Clinical Data Science: University of Colorado System
- Master of Data Science: University of Pittsburgh
- Statistics For Data Science: Coursera Project Network
- PySpark for Data Science: Edureka
- Excel Basics for Data Analysis: IBM
- Introduction to Data Analytics for Accounting Professionals: Association of International Certified Professional Accountants
