This can be a super guide for you to start and excel in your data science career.
Break the ice
This can be a super guide for you to start and excel in your data science career. A lot of times we are either bombarded with inadequate information/ content which is partially industry oriented. In most cases, the effectiveness of a professional is determined on the basis of his/her practical experience. That is why one’s skill development process should involve hands-on experience of tools and languages, knowledge of enough use cases, thirst of implementing your knowledge and experience for getting a job profile in Data Science.
The pillars of data science professionals are
- Reporting tools like Excel, Google sheets
- Business/ Domain Knowledge
- SQL skills
- BI tools skills
- Python/ R skills
We are here to directly help you in understanding, practicing and implementing formulas of excel to make business reports and dashboards.
Nearly 20 domain’s real business use cases will be available for you to study and explore.
Familiarity with SQL is a must. Getting your hands more dirty in SQL will make your pockets more wealthy. If you are completely new to SQL, then it’s not a problem because we think SQL is one of the easiest languages. We will let you think, play and solve hundreds of our customized SQL exercises according to level of proficiency required.
Visualize and materialize. There is not a better way to analyze something and then present it into some beautiful, interactive visualization reports or dashboards. Tableau, Google Data Studio, Power BI these will be your friends in the process.
To give a smooth finishing touch or to build an entire platform of any data science project, python is a needed arsenal. Our team has some of the best python programmers which can help you throw away fear of python coding and make you learn some interesting python skills.
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.
Important SQL functions
This article will introduce important functions in SQL rank, denserank, over, partition.
Important queries in SQL
In SQL you can make queries in number of ways ,though we can break complex codes into small readable and calculated parts.
SQL for data science
SQL offers several powerful analytical functions that can provide valuable insights
SQL Analytic Functions
SQL’s analytic functions allow for complex calculations and deeper data insights
SQL’s window function
SQL’s window functions are a potent tool that enables you to perform
SQL’s Recursive Common Table Expressions
SQL has a powerful feature called Recursive Common Table Expressions (CTEs), enabling you to work with hierarchical or recursive data. When handling data structures such as organisational hierarchies, bills of materials, family trees, and other similar structures, they can prove extremely valuable. 1. What is a Recursive CTE? 2. Syntax of a Recursive CTE 3.…
SQL stats and maths functions
Statistical and mathematical functions in SQL
Efficient Python 1: Play with Numpy, loops, Lists, Arrays
solve these Efficient python code quizzes
Efficient Python 2
This is the second segment of simple to advanced codes
SQL Exercise : Basics
Improve your analytical skills by practicing the following tasks
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