Ready to move past Excel for complex business analysis? Then you’ll find this course very helpful.
This hands-on introductory Data Science course is aimed at professionals and students who don't have any experience with programming. It will help you advance your career by preparing you to conduct meaningful data analysis in Python on any dataset — large or small.
You’ll begin with the fundamentals of Python, with focus on CSV files in Python, covering concepts like data preprocessing and Exploratory Data Analysis (EDA). In the second half, you'll focus on predictive and inferential analysis using statistical and machine learning techniques, and learn how these techniques can help solve business problems.
Ready to move past Excel for complex business analysis? Then you’ll find this course very helpful.
This hands-on introductory D...Show More
Content
1.
What is Data Science
3 Lessons
Get familiar with the interdisciplinary study of data, data science lifecycle, and Python's key role.
2.
Python Basics
12 Lessons
Unpack the core of Python syntax, variables, operators, conditionals, functions, loops, and modules.
3.
Handling Tabular Data in Python
10 Lessons
Master the steps to handle, manipulate, and visualize tabular data using Pandas in Python.
4.
Data Cleaning
9 Lessons
Grasp the fundamentals of data cleaning, including handling missing values, duplicates, inconsistencies, and outliers.
5.
Exploratory Data Analysis
8 Lessons
Dig into understanding datasets, analyzing variables, and discovering trends and relationships.
6.
Statistical Inference
6 Lessons
Simplify complex topics of statistical inference, including estimation, confidence intervals, and hypothesis testing.
7.
Predictive Models
11 Lessons
Build on creating, optimizing, and evaluating predictive models using linear and logistic regression.
8.
Machine Learning
11 Lessons
Sharpen your skills in machine learning algorithms, pipelines, and practical applications using Python.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
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