Learn SQL CRUD basics and Here’s a fast overview of how to utilize them in 5 minutes.
SQL CRUD basics in 5 mins
SELECT
To select data from a table, you can use the SELECT statement. You need to specify the columns that you want to retrieve and the table that you want to query. You can also use various clauses to filter, sort, group, or join the data. For example, this code selects the name and email columns from the customers table where the phone column is not null and orders the result by name in ascending order.
SQL
SQL
SQL
SELECT name, email
FROM customers
WHERE phone IS NOT NULL
ORDER BY name ASC;
name email
Alice alice@example.comSELECT name, email
FROM customers
WHERE phone IS NOT NULL
ORDER BY name ASC;
ANCOVA: Analysis of Covariance with python
ANCOVA is an extension of ANOVA (Analysis of Variance) that combines blocks of regression analysis and ANOVA. Which makes it Analysis of Covariance.
Learn Python The Fun Way
What if we learn topics in a desirable way!! What if we learn to write Python codes from gamers data !!
Meet the most efficient and intelligent AI assistant : NotebookLM
Start using NotebookLM today and embark on a smarter, more efficient learning journey!
Break the ice
This can be a super guide for you to start and excel in your data science career.
Tourism Trend Prediction
After tourism was established as a motivator of local economies (country, state), many governments stepped up to the plate.
Sentiment Analysis Polarity Detection using pos tag
Sentiment analysis can determine the polarity of sentiments from given sentences. We can classify them into certain categories.
For loop with Dictionary
Traverse a dictionary with for loop Accessing keys and values in dictionary. Use Dict.values() and Dict.keys() to generate keys and values as iterable. Nested Dictionaries with for loop Access Nested values of Nested Dictionaries How useful was this post? Click on a star to rate it! Submit Rating
For Loops with python
For loop is one of the most useful methods to reuse a code for repetitive execution.
Metrics and terminologies of digital analytics
These all metrics are revolving around visits and hits which we are getting on websites. Single page visits, Bounce, Cart Additions, Bounce Rate, Exit rate,
Hypothesis Testing
Hypothesis testing is a statistical method for determining whether or not a given hypothesis is true. A hypothesis can be any assumption based on data.
A/B testing
A/B tests are randomly controlled experiments. In A/B testing, you get user response on various versions of the product, and users are split within multiple versions of the product to figure out the “winner” of the version.
For Loop With Tuples
This article covers ‘for’ loops and how they are used with tuples. Even if the tuples are immutable, the accessibility of the tuples is similar to that of the list.
Multivariate ANOVA (MANOVA) with python
MANOVA is an update of ANOVA, where we use a minimum of two dependent variables.
Two-Way ANOVA
You only need to understand two or three concepts if you have read the one-way ANOVA article. We use two factors instead of one in a two-way ANOVA.
