Data analysis

Hey guys,
So most of the questions that I am getting wrong are in the Data Analysis Section. What all topics are included in Data analysis? and where to practice them from?

From ETS website(https://www.ets.org/gre/revised_general/prepare/quantitative_reasoning/):-
Data analysis topics include basic descriptive statistics, such as mean, median, mode, range, standard deviation, interquartile range, quartiles and percentiles; interpretation of data in tables and graphs, such as line graphs, bar graphs, circle graphs, boxplots, scatterplots and frequency distributions; elementary probability, such as probabilities of compound events and independent events; conditional probability; random variables and probability distributions, including normal distributions; and counting methods, such as combinations, permutations and Venn diagrams. These topics are typically taught in high school algebra courses or introductory statistics courses. Inferential statistics is not tested.
You can practice Data analysis from Gre big book,Ets Math review. Other than that you can go through quant concept series(https://new.gregmat.com/course/gre-quant-concept-series), Gregmat has 4-5 classes on practicing different topics of Data analysis.

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Download ETS math review(Just google it and you will find the PDF link) —> To get information about all the topics that will be tested in GRE Quants section.

Go to this link for brushing up your fundamentals : https://www.ets.org/gre/revised_general/prepare/khan_academy/
You will find all the Index of all Quant topics with Khan Academy link .

For Practice Use Big Book : https://new.gregmat.com/course/old-gre-walkthroughs
Greg has solved all the charts questions in Big Book (link above) so that you can cross-check your answers .