This class aims to cover the main types of tables and graphs used in science, providing learners with an opportunity to really understand how to present data as well as developing their skills through hands-on graph drawing tasks. 

**Teaching style and interaction**

My classes are highly interactive yet academically focused, with all learners encouraged to actively participate. I also put significant emphasis on encouraging learners to develop genuine skills and understanding while fostering a scientific mindset, rather than just learning how to pass exams. 

Note: this is a self-paced course, offering you a more flexible schedule and freedom to complete the graph drawing tasks at your own pace. Each lesson will focus on one type of graph and include: 
- A recorded video class (discussing how/ when that graph is used);
- Summary sheet;
- Online quiz;
- A recorded work-through video (showing step-by-step how to draw that graph);
- Graph drawing task.

I will provide individual written feedback on learners' graphs for enrolled learners.

**Schedule**

1: Scientific variables and data tables
We will learn about dependent, independent and control variables as well as how to present data correctly in a table. We will also introduce the importance of graphs and summarise the main graph types.

2: Scatter graphs
This week focuses on how to structure a scatter graph, label the axis correctly, scale the axis, plot data points, draw error bars and draw a trend line/ line of best fit. We will also learn when scatter graphs are used and how to describe the trend using correct scientific conventions. 

3: Line graphs
The third section focuses on line graphs, particularly when they are used (as opposed to a scatter graph), how to label and scale the axis, plotting data points, drawing line traces, and how to plot multiple sets of data on a single graph. We will analyse example line graphs to identify and describe trends in data. 

4: Pie charts
We will learn which scenarios pie charts are used for, how to calculate the degrees for each segment, how to plot a pie chart, and how to use colours or textures to represent information. 

5: Bar charts and pictograms
We will learn suitable scenarios for when bar charts should be used, how to label the axis, plotting bars accurately, adding error bars and drawing conclusions from the data. We will also briefly look at pictograms and how they can also be used to represent data in a more visual and fun way. 

6: Histograms 
We will learn when histograms are used, how to calculate the area of each section, plot data accurately and interpret histograms.


**Recommended prior knowledge**

Learners should have a basic understanding of scientific experiments, as may be gained from school science investigations. They should be confident with core mathematical skills such as addition and division, as well as some familiarity with plotting simple graphs. Most importantly, learners should have an inquisitive mind and be willing to learn.