Specialist in Applied Statistics Course
What will I learn?
Ma wo nimdeɛ a ɛfa statistics ho nkɔ anim wɔ yɛn Osebenfo wɔ Applied Statistics Ho Adesua yi mu. Kɔ data asekyerɛ ne data ahoboa mu, sua exploratory data analysis ho ade, di missing data ho dwuma, na sua data tɛkyerɛma ho akwan. Ma wo data visualization ho nimdeɛ nkɔ anim denam scatter plots, histograms, ne bar charts so. Nya inferential statistics ho nimdeɛ, a hypothesis testing, p-values, ne ANOVA ka ho. Sua descriptive statistics ne regression analysis ho ade, na sua sɛnea wobɛkyerɛkyerɛ nsɛm mu yiye denam structured reports ne actionable recommendations so.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Sua data tɛkyerɛma: Hwɛ hu sɛ biribiara teɛ denam missing data ho dwuma a wobɛdi yiye so.
Yɛ visuals a ɛyɛ anigye: Yɛ scatter plots, histograms, ne bar charts.
Yɛ hypothesis tests: Fa T-tests ne ANOVA yɛ data nhwehwɛmu.
Yɛ regression analysis: Kyerɛkyerɛ multiple ne linear regression outputs mu.
Ka nsɛm a woahu no kyerɛ: Hwɛ reports na fa actionable recommendations ma.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and workload.
- Select which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You can generate additional chapters like the examples below
This is a free course, aimed at personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.