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Statistics for Data Science and Business Analysis (EN)

Von 365 Careers

Is statistics a driving force in the industry you want to enter? Do you want to work as a Marketing Analyst, a Business Intelligence Analyst, a Data Analyst, or a Data Scientist?

Well then, you’ve come to the right place! Statistics for Data Science and Business Analysis is here for you with TEMPLATES in Excel included! This is where you start. And it is the perfect beginning!

In no time, you will acquire the fundamental skills that will enable you to understand complicated statistical analysis directly applicable to real-life situations.

We have created a course that is:
  • Easy to understand
  • Comprehensive
  • Practical
  • To the point
  • Packed with plenty of exercises and resources
  • Data-driven
  • Introduces you to the statistical scientific lingo
  • Teaches you about data visualization
  • Shows you the main pillars of quant research

Why do you need these skills?
  1. Salary/Income – careers in the field of data science are some of the most popular in the corporate world today. And, given that most businesses are starting to realize the advantages of working with the data at their disposal, this trend will only continue to grow
  2. Promotions – If you understand Statistics well, you will be able to back up your business ideas with quantitative evidence, which is an easy path to career growth
  3. Secure Future – as we said, the demand for people who understand numbers and data, and can interpret it, is growing exponentially; you’ve probably heard of the number of jobs that will be automated soon, right? Well, data science careers are the ones doing the automating, not getting automated
  4. Growth - this isn’t a boring job. Every day, you will face different challenges that will test your existing skills and require you to learn something new

Let's start learning together now!

Inhalte

play symbol Population and Sample: Distinction
04:02
play symbol Classification of Data: Types of Data
04:33
play symbol Classification of Data: Levels of Measurement
03:43
play symbol Data Visualization: Categorical Variables
04:52
lecture locked Data Visualization: Numeric Variables
03:09
lecture locked Representation of Numerical Variables: Histograms
02:14
lecture locked Data Visualization: Cross Tables and Scatterplots
04:44
lecture locked Univariate Measures: Central Tendency
04:20
lecture locked Univariate Measures: Asymmetry
02:37
lecture locked Univariate Measures: Data Dispersion (Variance)
05:55
lecture locked Univariate Measures: Data Scatter (Standard Deviation and Coefficient of Variation)
04:40
lecture locked Bivariate Measures: Covariance
03:23
lecture locked Bivariate Measures: Linear Correlation Coefficient
03:17
lecture locked Descriptive Statistics: Practical Example
16:15
lecture locked Introduction to Inferential Statistics
01:00
lecture locked Probability Distributions
04:33
lecture locked Normal Distributions
03:54
lecture locked Standard Normal Distributions
03:30
lecture locked Central Limit Theorem
04:20
lecture locked Standard Error
01:26
lecture locked Estimates
03:07
lecture locked Confidence Intervals
02:41
lecture locked Confidence Intervals: Calculations in a Population With Known Variance
08:01
lecture locked Confidence Intervals: Further Explanations
04:38
lecture locked Confidence Intervals: Student's t Distribution
03:22
lecture locked Confidence Intervals: Calculations in a Population With Unknown Variance
04:36
lecture locked Confidence Intervals: Margin of Error
04:52
lecture locked Confidence Intervals for Dependent Samples of Two Means
06:04
lecture locked Confidence Intervals for Independent Samples and Known Variance of the Population
04:31
lecture locked Confidence Intervals for Independent Samples With Unknown but Assumed Population Variance
03:57
lecture locked Confidence Intervals for Independent Samples With Unknown and Assumed Variance of the Population
01:27
lecture locked Interference Statistics: Practical Example
10:05
lecture locked Hypothesis Tests: Null and Alternative Hypothesis
05:51
lecture locked Hypothesis Tests: Determination of Rejection region and Significance Level
07:05
lecture locked Errors in Hypothesis Tests: Type I Error versus Type II Error
04:14
lecture locked Hypothesis Tests: Test With Known Variance of Population
06:34
lecture locked Hypothesis Tests: p-value
04:13
lecture locked Hypothesis Tests: Test With Unknown Variance of Population
04:48
lecture locked Hypothesis Testing: Dependent Samples
05:18
lecture locked Hypothesis Testing: Independent Samples and Known Variance
04:22
lecture locked Hypothesis Tests: Independent Samples With Unknown Assumed Variance
04:26
lecture locked Hypothesis Tests: Practical Example
07:16

Details

  • Enthaltene Vorträge: 42
  • Laufzeit: 3:17 h
  • Enthaltene Lernmaterialien: 77

Dozenten des Kurses Statistics for Data Science and Business Analysis (EN)

 365 Careers

365 Careers

365 Careers specializes in on-line courses in Finance, Management, Data Science and other fields. The company's courses produced have been taken by more than 400,000 students across 210 countries.

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