This course on Statistics for Data Science aims to teach learners the fundamental concepts and techniques of statistics essential for data analysis. The course covers topics such as mean, median, mode, variance, standard deviation, probability, distributions, hypothesis testing, confidence intervals, and more. By the end of the course, students will have acquired skills in analyzing data, interpreting statistical results, and making informed decisions based on data. The teaching method includes video tutorials in English with explanations and practice questions. This course is intended for individuals interested in data science, statistics, and those looking to enhance their analytical skills for data-driven decision-making.
Overview
Syllabus
STATISTICS FOR DATA SCIENCE EP:01 What is Statistics | data science | Statistics | English tutorial.
STATISTICS FOR DATA SCIENCE EP:02 Mean, Median, Mode | data science | Statistics | English tutorial.
STATISTICS FOR DATA SCIENCE EP:03 Sample And Population | data science | Statistics|English tutorial.
Statistics for Data Science EP:04 Population Variance | data science | Statistics | English tutorial.
Statistics for Data Science EP:05 Sample Variance | data science | Statistics | English tutorial.
Statistics for Data Science EP:06 Standard Deviation | data science | Statistics | English tutorial.
Statistics for Data Science EP:07 Alternate Variance formula | data science | Statistics | English.
Statistics for Data Science EP:08 Random Variable | types | data science | Statistics | English.
Statistics for Data Science EP:09 Probability density function | types | data science | Statistics |.
Statistics for Data Science EP:10 Questions on Probability density function| data science|Statistics.
Statistics for Data Science EP:11 Binomial Distribution Function | data science | Statistics.
Statistics for Data Science EP:12 Normal Distribution and Z-scores | data science | Statistics.
Statistics for Data Science EP:13 Question on Z-scores | data science | Statistics | English videos.
Statistics for Data Science EP:14 Basic plots | stem-leaf plot | Bar plot | leaf plot | Data Science.
Statistics for Data Science EP:15 Histogram | Statistics in english | Data Science |.
Statistics for Data Science EP:16 Boxplot | Statistics in english | Data Science |.
Statistics for Data Science EP:17 Quartiles and Percentiles | Outlier in data | Data Science |.
Statistics for Data Science EP:18 Question on mean and Sample Standard Deviation | Data Science |.
Statistics for Data Science EP:19 Question on Continuous Density Function | Data Science |.
Statistics for Data Science EP:20 Question on Continuous Density Function part 2 | Data Science.
Statistics for Data Science EP:21 Question on percentiles and probability Part 01 | Data Science.
Statistics for Data Science EP:22 Question on percentiles and probability Part 02 | Data Science.
Statistics for Data Science EP:23 Question on percentiles and probability Part 01 | Data Science.
Statistics for Data Science EP:24 Question on percentiles and probability Part 02 | Data Science.
Statistics for Data Science EP:25 Central Limit theorem for sample mean | data science.
Statistics for Data Science EP:26 Question on Central Limit theorem for sample mean | data science.
Statistics for Data Science EP:27 Central Limit theorem for Sums | data science.
Statistics for Data Science EP:28 Question on Central Limit theorem for Sums | data science.
Statistics for Data Science EP:29 Law of large numbers with question for Sums | data science.
Statistics for Data Science EP:30 Question on uniform distribution | Data Science.
Statistics for Data Science EP:31 Question on central limit theorem | Data Science | Statistics.
Statistics for Data Science EP:32 Part -2How to solve question on central limit theorem|Data Science.
Statistics for Data Science EP:33 Confidence Intervals |Data Science | Statistics for data science.
Statistics for Data Science EP:34 Confidence Level |margin of error| question on confidence interval.
Statistics for Data Science EP:35 Procedure for calculating Confidence Interval | inferential stats.
Statistics for Data Science EP:36 | Finding Z for the standard confidence interval|inferential stats.
Statistics for Data Science EP:37 | Calculating the EBM | Constructing the graph |inferential stats.
Statistics for Data Science EP:38 | Question on the confidence interval | |inferential stats.
Statistics for Data Science EP:39 | Changing the confidence level | inferential statistics.
Statistics for Data Science EP:40 | Changing the sample size | inferential statistics | data science.
Statistics for Data Science EP:41 | Working backwards for finding EB and sample mean | data science.
Statistics for Data Science EP:42 | Calculating sample size n | inferential statistics| data science.
Statistics for Data Science EP:43 | Student's-t distribution | inferential statistics| data science.
Statistics for Data Science EP:44|Student's-t distribution(cont)|inferential statistics|data science.
Statistics for Data Science EP:45|question Student's-t distribution | statistics | data science.
Statistics for Data Science EP:46 | confidence interval for population proportion | data science.
Statistics for Data Science EP:47|confidence interval for population proportion (cont.)|data science.
Statistics for Data Science EP:48 | Question on confidence interval for population proportion.
Statistics for Data Science EP:49 | Question-02 on confidence interval for population proportion.
Statistics for Data Science EP:50 | Finding sample size n | data science | inferential statistics.
Statistics for Data Science EP:51 | Summary of confidence interval inferential statistics.
Statistics for Data Science EP:52 | hypothesis testing | data science | statistics.
Statistics for Data Science EP:53 | null hypothesis and alternate hypothesis | data science.
Statistics for Data Science EP:54 | example and comparison on null and alternate hypothesis.
Statistics for Data Science EP:55 | Outcomes Type I and Type II errors | data science | statistics.
Statistics for Data Science EP:56 | Examples of Type I and Type II errors | data science |statistics.
Statistics for Data Science EP:57 | Distribution needed for hypothesis testing | data science.
Statistics for Data Science EP:57 | Distribution needed for hypothesis testing and Assumptions |.
Statistics for Data Science EP:59 | Assumptions in hypothesis testing | statistics for data science.
Statistics for Data Science EP:60 | Rare events in hypothesis testing | statistics for data science.
Statistics for Data Science EP:61 | Decision and conclusion | statistics for data science.
Statistics for Data Science EP:62 | Summary of formulas | statistics for data science.
Statistics for Data Science EP:63 | Comparing two independent population mean | statistics.
Statistics for Data Science EP:64 | test score and degrees of freedom | statistics.
Statistics for Data Science EP:66 |Comparing two independent population means | statistics.
Statistics for Data Science EP:67 | Question on independent groups and population known | statistics.
Statistics for Data Science EP:68 | Question on comparing two independent population mean|statistics.
Statistics for Data Science EP:69 | Question on comparing two independent population mean (cont.).
Statistics for Data Science EP:70 | Matched or paired samples | statistics | data science mathmatics.
Statistics for Data Science EP:72 | Question on Matched or paired samples | statistics |data science.
Statistics for Data Science EP:73 | Recap of sampling and it's techniques | statistics |data science.
Statistics for Data Science EP:74 | Important keyterms to remember | statistics |data science.
Statistics for Data Science EP:75 | Recap of levels of measurement | statistics |data science.
Statistics for Data Science EP:76 | Variation in data | statistics |data science.
Statistics for Data Science EP:77 | Question on independent groups | statistics |data science.
Statistics for Data Science EP:78 | Quick recap of types of data | statistics |data science.
Statistics for Data Science EP:79 | Question on different samples | statistics |data science.
Statistics for Data Science EP:80 | Example on null Hypothesis | statistics |data science.
Statistics for Data Science EP:81 | Chi Square test and notation | statistics |data science.
Statistics for Data Science EP:82 | Features in chi square test | statistics |data science.
Statistics for Data Science EP:83 | Goodness of fit test | statistics |data science.
Statistics for Data Science EP:84 | Goodness of fit test part b | statistics |data science.
Statistics for Data Science EP:85 | Test of Independence | statistics |data science.
Statistics for Data Science EP:86 | Chi-square test | statistics |data science.
Statistics for Data Science EP:87 | Independence and homogenity | statistics |data science.
Statistics for Data Science EP:88 | Test of a single variance | statistics |data science.
Statistics for Data Science EP:89 | Summary of Chi square test | statistics |data science.
Statistics for Data Science EP:90 | Summary of principle of homogenity | statistics |data science.
Statistics for Data Science EP:91 | Linear regression and correlation | statistics |data science.
Statistics for Data Science EP:92 | F distribution and one way anova | statistics |data science.
Statistics for Data Science EP:93 | assumptions for one way anova | statistics |data science.
Statistics for Data Science EP:94 | null and alternate hypothesis | statistics |data science.
Statistics for Data Science EP:95 | alternate hypothesis | statistics |data science.
Statistics for Data Science EP:96 | F-distribution and F - ratio | statistics |data science.
Statistics for Data Science EP:97 | Calculating F-ratio | statistics |data science.
Statistics for Data Science EP:98 | Important points F-ratio | statistics |data science.
Statistics for Data Science EP:99 | Calculation of sum of squares and mean| statistics |data science.
Statistics for Data Science EP:100 | Calculation of sum of squares and mean (cont) | data science.
Statistics for Data Science EP:101 | Facts about One way Anova | data science.
Statistics for Data Science EP:102 | F-ratio or F-statistics | data science | statistics.
Statistics for Data Science EP:103 | Notation of F-ratio or F-statistics | data science | statistics.
Statistics for Data Science EP:104 | Test of two variance | data science | statistics.
Statistics for Data Science EP:105 | Example of Test of two variance | data science | statistics.
Statistics for Data Science EP:106 | More about Test of two variance | data science | statistics.
Statistics for Data Science EP:107 | Summary of test of two variance | data science | statistics.
Statistics for Data Science EP:108 |Valid condition for linear regression | data science | statistic.
Statistics for Data Science EP:109 |Recap of Chi SquareTest| data science | statistic.
Statistics for Data Science EP:110 | Approach for a statistical analysis | data science | statistic.
Statistics for Data Science EP:111 | Approach for a statistical analysis 2 data science | statistic.
Taught by
FUN WITH DATA SCIENCE
