Statistics for AI Data Science and Business Analysis - 2024
Statistics you need at the Project : Descriptive and Inferential statistics, Hypothesis testing, Regression analysis
Ratings 4.02 / 5.00
What You Will Learn!
- Learn Underlying Mathematics to build an intuitive understanding & relating it to Machine Learning and Data Science
- Hands-On Code Implementation with Python for each mathematical topic to deepen the knowledge
- Master the Advanced level in an Interactive learning approach to Strengthen your knowledge on Difficult & Important Topics
- Understand the Importance of Probability & Distributions, and choose the right function for your data.
Description
Are you interested in pursuing a career as a Marketing Analyst, Business Intelligence Analyst, Data Analyst, or Data Scientist, and are eager to develop the essential quantitative skills required for these roles? Look no further!
Enter the world of Statistics for Data Science and Business Analysis – a comprehensive course designed to be your perfect starting point. With included Excel templates, this course ensures you quickly grasp fundamental skills applicable to complex statistical analyses in real-world scenarios. Here's what sets our course apart:
Easy to comprehend
Comprehensive
Practical
Direct and to the point
Abundant exercises and resources
Data-driven
Introduces statistical scientific terminology
Covers data visualization
Explores the main pillars of quantitative research
While numerous online resources touch upon these topics, finding a structured program explaining the rationale behind frequently used statistical tests can be challenging. Our course offers more than just automation; it cultivates critical thinking skills. As an aspiring data scientist or BI analyst, you'll learn to navigate and direct computers and programming languages effectively.
What distinguishes our Statistics course?
High-quality production with HD videos and animations
Knowledgeable instructor with international competition experience in mathematics and statistics
Comprehensive training covering major statistical topics
In-depth Case Studies to reinforce your learning
Excellent support with responses within 1 business day
Dynamic pacing to make the most of your time
Why acquire these skills?
Salary/Income boost in the flourishing field of data science
Increased chances of promotions by supporting business ideas with quantitative evidence
A secure future in a growing field that's automating jobs rather than being automated
Continuous personal and professional growth with daily challenges and learning opportunities
Remember, the course is backed by Udemy’s 30-day unconditional money-back guarantee. Take the plunge – click 'Buy now' and embark on your learning journey today!
Who Should Attend!
- Anyone who wants to understand the fundamentals underlying the abstractions of ML Algorithms, and expand the capabilities
- A software developer who wants to develop the firm foundation for the deployment of Machine learning Algorithms into Production Systems
- A Data Scientist who wants to reinforce the understanding of the Subjects at the core of the professional discipline
- A Data Analyst or A.I enthusiast who wants to become a data scientist or ML Engineer and are keen to deeply understand the field that you are entering from Level Zero.
Tags
- Data Science
- Probability
- Statistics
- Predictive Analytics
Subscribers
1280
Lectures
135
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