What will you learn in Data Analysis with R Specialization Course
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Build a deep understanding of statistical reasoning and data analysis
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Perform exploratory data analysis and apply statistical methods using Python
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Conduct hypothesis testing and construct confidence intervals
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Apply linear regression and build statistical models for real-world datasets
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Utilize Python libraries like NumPy, pandas, matplotlib, and statsmodels for analysis
Program Overview
Course 1: Understanding and Visualizing Data with Python
⏳ 2 weeks
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Topics: Data types, summary statistics, visualizations, probability
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Hands-on: Creating histograms, box plots, scatter plots using Python
Course 2: Inferential Statistical Analysis with Python
⏳ 2 weeks
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Topics: Central Limit Theorem, hypothesis testing, p-values, confidence intervals
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Hands-on: Conducting statistical inference and A/B testing
Course 3: Fitting Statistical Models to Data with Python
⏳ 3 weeks
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Topics: Linear regression, model diagnostics, categorical variables, ANOVA
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Hands-on: Building and interpreting regression models with Python
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Job Outlook
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High demand for data-literate professionals in roles such as Data Analyst, Business Analyst, and Researcher
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Strong foundation for further study in Data Science and Machine Learning
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Salary range: $65,000–$120,000/year depending on experience and specialization
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Valuable in industries like healthcare, finance, tech, academia, and marketing
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Freelance and consulting opportunities in statistical modeling and data storytelling
