Sasi ๐๐
@freest_man
Followers
23,110
Following
165
Media
1,288
Statuses
8,756
Data Analytics Consultant ๐งโ๐ป Simplifying Data Science and helping you become a certified Power BI Developer! DM for Enquiries ๐จ
Join 2000+ readers โ
Joined August 2022
Don't wanna be here?
Send us removal request.
Explore trending content on Musk Viewer
NATO
• 690970 Tweets
Shelley Duvall
• 254737 Tweets
President Putin
• 151545 Tweets
Did Biden
• 125839 Tweets
Katy Perry
• 106587 Tweets
WOMAN'S WORLD
• 89025 Tweets
ุณูู
ุงู
• 79725 Tweets
VP Trump
• 70667 Tweets
#TemptationIsland
• 59671 Tweets
President of Ukraine
• 54652 Tweets
Vice President Trump
• 54632 Tweets
Raul
• 50377 Tweets
LA LIBRETA ROSA OUT NOW
• 48930 Tweets
#SVAllStarsGala4
• 42901 Tweets
Wesley
• 28780 Tweets
็บๆฟไปๅ
ฅ
• 28230 Tweets
MARK TUAN IN BRAZIL
• 27378 Tweets
Skenes
• 26285 Tweets
FURIA EN CARAJO
• 24641 Tweets
Bosco
• 20756 Tweets
Fortaleza
• 19497 Tweets
ใฉในใใใคใซ
• 12905 Tweets
ๅ็ ๅดฉใ
• 12806 Tweets
ใญใใซใ
• 12262 Tweets
Data Scientists spend 80% of their time in Data Cleaning
5 tutorials that will make you better at data cleaning:
55
588
2K
๐ SQL for Data Science Complete Study Plan ๐
Timeline of 28 days and you have to dedicate at least 1.5 hours a day.
/๐งต/
34
613
2K
๐งต Data Analyst vs Data Scientist ๐งต
Whatโs the difference and how to choose one?
42
406
2K
Data Analytics can be divided into 5 types based on the questions it can answer.
Descriptive analytics
What happened?
Descriptive analyticsย answers questions about what happened.
Descriptive analytics techniques summarize large datasets to present insights to stakeholders.
17
428
2K
Data Science Study Plans e-book for FREE
A well-researched and thorough collection of study plans for Excel, SQL, Python, Power BI, and Tableau.
As someone who transitioned to a Data Science career from a non-IT background, I have made sure it covers all topics from the
707
676
2K
Complete SQL Crash Course Study Plan
This is for those who can dedicate at least 1.5 hours a day for 28 days!
14
432
2K
Why do we use a significance level of 0.05 in statistics?
This might be asked in your DS interview!
16
255
1K
Type I error is a false positive conclusion, while a Type II error is a false negative conclusion.
Let's understand the confusion matrix:
12
210
1K
Data Analyst vs Data Scientist
Which career would suit you?
51
195
1K
STOP building dashboards that just explore data
START building dashboards that answer business problems
Here's how:
/๐งต/
30
299
1K
Why do we use a significance level of 0.05 in statistics?
This was asked in MY Data Science interview
/๐งต/
24
261
1K
Bored with long Data Science video lectures?
5 Kaggle FREE micro-courses to accelerate your learning
/๐งต/
37
369
1K
One concept I struggled to understand as a Data Analyst was DataBase Normalization
I'm going to explain it to you so you don't have to
/๐งต/
22
208
1K
5 Types of Analytics
Data Analytics can be divided based on the 5 types of questions it can answer.
1) Descriptive analytics
โWhat happened?
Descriptive analyticsย answers questions about what happened.
Descriptive analytics techniques summarize large datasets to present
20
311
990
Best way to remember Type I & II errors
๐ค Confusion Matrix - How good was the prediction? ๐ค
This topic is repeatedly asked in many Data Science interviews
A confusion matrix is a table that is often used to describe the performance of a classification model on a set of test data for which the true values are known.
14
92
344
13
283
995
101 Pandas Exercises for Practice
Problems + Solutions
๐
12
190
961
SQL for Data Science Complete Study Plan ๐
The timeline of 28 days and you have to dedicate at least 1.5 hours a day.
Week 1: Fundamentals of SQL
Day 1-3: Introduction to SQL syntax, SELECT statements, filtering, and sorting.
Resource: Khan Academy's "Intro to SQL" course on
21
298
955
๐งฉ SQL Joins Explained with Query + Visual ๐งฉ
Joins in SQL is a fundamental concept to combine data from different tables based on related columns.
/๐งต/
25
233
951
This is going to change Data Analytics!
A Dashboard UI inside the Jupyter Notebook which makes Visualizing Easy!
Using just one line of code and is easy to deploy as well!
13
206
935
๐Power BI for Data Science Complete Study Plan ๐
Timeline of 6 weeks and you have to dedicate at least 1 hour a day
/๐งต/
22
280
914
Power BI for Data Science Complete Study Plan
10 hours a week to dedicate to this, here's a 12-week study plan
Week 1: Introduction to Power BI
Day 1-3: Begin with the official Power BI Guided Learning resources to get familiar with the platform.
Link:
9
254
906
๐ Python for Data Science Complete Study Plan ๐
Timeline of 12 weeks and you have to dedicate at least 7 hours a week.
๐๏ธWeek 1-2: Python Basics and Data Structures
Resource: YouTube playlist - Python Crash Course by Corey Schafer.
Link:
Watch
23
285
873
Why do we use a significance level of 0.05 in statistics?
This was asked in MY Data Science interview
/๐งต/
7
172
880
Why do we use a significance level of 0.05 in statistics?
This could be asked in your next DS interview!
/๐งต/
13
239
799
5 Types of Data Analytics Based on 5 Questions
1/ Descriptive analytics
What happened?
Descriptive analyticsย answers questions about what happened.
Descriptive analytics techniques summarize large datasets to present insights to stakeholders.
The presentation of data related
14
227
799
Dashboards that are used by companies the most?
Business Dashboards.
3 types of Business Dashboards you MUST know as a Data Scientist
/๐งต/
30
217
773
๐ Python for Data Science Complete Study Plan ๐
Timeline of 12 weeks and you have to dedicate at least 1 hour a day.
/๐งต/
21
207
772
Complete Power BI Study Plan ๐
10 hours a week to dedicate to this, here's a 12-week study plan:
13
215
764
SQL is easy to learn but hard to master.
Here's a roadmap that can help you learn it:
/๐งต/
20
224
731
Excel for Data Science Complete Study Plan ๐
Timeline of 30 days and you have to dedicate at least 1 hour a day.
Week 1: Basics of Excel
Day 1-2: Excel Basics
Day 3-4: Understanding Formulas, Functions and Formatting
Day 5-7:
16
260
738
Storytelling with data is a KEY skill for a Data Scientist
But how do you actually tell a story and present your data in front of an audience?
Here's how :
/๐งต/
23
217
697
๐Tableau for Data Science Complete Study Plan
Timeline of 4 weeks and you have to dedicate at least 1 hour a day
Week 1: Introduction to Tableau
Day 1-3: Begin with the official Tableau Training Videos
Complete all the tutorials under โCreatorโ
Link:
13
218
702
Correlation is fundamental when it comes to the relationship between two variables
Correlation provides insights into how changes in one variable may relate to changes in another.
A correlation coefficient of +1 indicates a perfect positive correlation, meaning the variables
4
151
697
5 Docuseries about Data Science
Learn about Data Science in a Fun way!
5
119
698
SQL is essential for a data analyst
Here are 5 ways in which I use SQL as a Data Analyst:
/๐งต/
14
198
681
SQL is the foundation for any DataScience related role
Here is a quick guide on how to get started:
/๐งต/
21
278
663
SQL for Data Science Complete Study Plan 2024๐
The timeline is 28 days, and you must dedicate at least 1.5 hours daily.
Week 1: Fundamentals of SQL
Day 1-3: Introduction to SQL syntax, SELECT statements, filtering, and sorting.
Resource: Khan Academy's "Intro to SQL"
13
248
665
Data Analyst vs Data Scientist: Whatโs the difference and how to choose one?
If youโre interested in working with data, you might be wondering what the difference is between a data analyst and a data scientist, and which one is right for you.
Hereโs a quick overview of the two
16
140
660
Why do we use the Elbow Method to select k in K-Means Clustering?
This was asked in my Data Science Interview
/๐งต/
24
124
662
Good Resume = Data Science Interview
Don't let your hours of hard work go waste with a BAD resume
Watch these 5 Youtube Videos to craft the perfect one
/๐งต/
21
172
631
Python for Data Science Complete Study Plan
Timeline of 12 weeks and you have to dedicate at least 7 hours a week.
Week 1-2: Python Basics and Data Structures
Resource: YouTube playlist - Python Crash Course by Corey Schafer.
Link:
Watch video
8
182
629
This is going to change Data Analytics!
A spreadsheet inside the Notebook which also generates Pandas code
This makes Data Analysis easy for All!
20
147
636
Tableau or Power BI?
There is one CLEAR winner if you are just beginning to learn one
/๐งต/
20
203
623
Why do we use a significance level of 0.05 in statistics?
Frequently Asked Question in Data Science
/๐งต/
13
144
633
Boxplot packs so much information!
It shows:
Minimum, Maximum, 1st Quartile, 3rd Quartile and Median
9
110
617
Power BI Complete Study Plan
10 hours a week to dedicate to this, here's a 12-week study plan
Week 1: Introduction to Power BI
Day 1-3: Begin with the official Power BI Guided Learning resources to get familiar with the platform.
Link:
Day 4-7: Watch
15
220
607
I went through SQL 156 question bank and sat for 5 interviews
Here is the most frequently asked
/๐งต/
20
181
576
Twitter is a Gold Mine for learning Data Science
Here are my favorite creators you MUST follow:
/๐งต/
18
163
574
How I got a Data Analyst job by talking about football in an interview
(and how you can too):
/๐งต/
18
128
567
101 Pandas Exercises for Data Analysis Practice
Problems with Solutions
5
99
577
๐งตBox Plot Mega Thread๐งต
Let's discuss the powerful statistical visualization: Box plots
15
145
570
๐Tableau for Data Science Complete Study Plan ๐
Timeline of 4 weeks and you have to dedicate at least 1 hour a day
#28daysofTableau
/๐งต/
14
157
561
If anybody says you don't need to be good at stats for Data Science they are lying!
But you can become good at stats by practicing!
Here are the topics:
19
101
559
What are Type I & Type II errors?
Understanding Confusion Matrix
/๐งต/
11
134
555
KNN and K-Means
What do these two have in common?
These are important algorithms one must know and often confusing ones.
K-means and K-nearest neighbors (KNN) are both popular techniques in machine learning and data analysis, but they serve different purposes and belong to
9
106
549
๐งฉ SQL Joins Explained with Query + Visual
Joins in SQL is a fundamental concept to combine data from different tables based on related columns.
/๐งต/
9
126
533
In Data Warehouses, Dimension data is De-normalized. But why?
In most transactional databases that are used, the data isย normalizedย to reduce duplication.
In a data warehouse, however, the dimension data is generallyย de-normalizedย to reduce the number of joins required to query
12
103
543
Tableau for Data Science Complete Study Plan ๐
Timeline of 4 weeks and you have to dedicate at least 1 hour a day
12
108
517
ELT vs ETL: What difference does the order make?
A common problem that organizations face is how to gather data from multiple sources, in multiple formats.
Extract, transform, and load (ETL) pipelines first collect data from various sources.
It then transforms the data and
12
111
499
Data warehouse schema designs
In most transactional databases that are used, the data isย normalizedย to reduce duplication.
In a data warehouse, however, the dimension data is generallyย de-normalizedย to reduce the number of joins required to query the data.
Often, a data
13
99
493
If you are Aspiring to be a Data Analyst it's key to know the steps of a Data Analytics Project
8 Key Steps of a Data Analytics Project:
6
116
486
Data Lakes vs Data Warehouse
How are they selected based on the Data Management Strategy?
Data Lakes:
Storage Approach: Data lakes store data in its raw, unstructured or semi-structured format.
Data Variety: Data lakes can handle diverse types of data, including structured,
4
109
470
Hypothesis testing isย an inferential statistical method.
Itโs often employed to make informed decisions based on available evidence.
At its core, hypothesis testing involves assessing the validity of a proposed hypothesis by evaluating sample data.
The process typically begins
12
134
465
Hackers can use SQL to hack your website!
SQL injection is a type of security vulnerability that occurs in web apps that use SQL databases
It happens when the attacker inserts a malicious SQL query in a web form OR URL parameter
For example, if a website uses a login form that
11
72
451
Python for Data Science Complete Study Plan
Timeline of 12 weeks and you have to dedicate at least 10 hours a week.
Only follow this if you are disciplined!
9
120
461
101 Pandas Exercises
&
100 Numpy Exercises
Practice problems for Data Analysis with Answers
7
77
458
What is Database Normalization?
What are the different forms?
(This might be asked in your DS interview)
/๐งต/
15
94
446
In SQL, what's the difference between:
DELETE, DROP, and TRUNCATE?
This might be asked in your next DS interview
๐ DELETE is a Data Manipulation Language (DML) command.
It can delete all rows or certain rows under conditions using WHERE.
DELETE cannot delete the
14
102
436
DataScience Project Idea 2023
Customer Churn Analysis: Guide + Code Snippets
/๐งต/
16
136
425
If you aren't using ChatGPT for Data Analysis you are already falling behind
Be it SQL Query Optimization or Chart Suggestions there are so many use cases that aren't used effectively
That's why I have compiled "ChatGPT for Data Science" to help you explore the integration of
308
190
414
A Random Forest is like consulting a group of experts before a decision.
A random forest isย a machine-learning technique that uses many decision trees to solve classification and regression problems.
It's a supervised learning algorithm that uses ensemble learning, which is a
12
98
430
Logistic Regression is for Yes or No, 1 or 0, Black or White.
Imagine you're trying to predict if it will rain or not.
You have data about the past, like the temperature, humidity, and whether it rained or not.
You want to use this data to predict if it will rain tomorrow.
15
95
425
Logistic Regression is for binary outcomes, like Yes or No, 1 or 0, Black or White.
Imagine you're trying to predict if it will rain or not.
You have data about the past, like the temperature, humidity, and whether it rained or not.
You want to use this data to predict if it
8
83
419
Hey everyone!
I'm thrilled to share some amazing news with you all!
Over the next 14 days, I'll be starting a journey to help you ace the Microsoft PL 300 certification exam.
In just two weeks, you'll be well-prepared to be a Microsoft-certified Power BI Analyst!
Now, you
19
73
420
Dont be misled by how Violin charts look
It's one of the most powerful visualizations in Statistics
Let's learn more
/๐งต/
12
58
410
Differentiate Univariate, Bivariate, and Multivariate Analysis
This might be asked in your next Data Science interview
/๐งต/
6
89
402
Top 5 Data visualization tools in most demand!
Increase the chance of landing a Data Science job by learning these:
/๐งต/
18
116
395
Data Science Quick Resources:-
Courses?
@coursera
@DataCamp
Projects?
@dataquestio
Dataset?
@kaggle
Debug?
@StackOverflow
Free Courses?
@fastdotai
3
150
394
Biggest pain point in landing a Data Science job?
A lot of candidates have very poor Resumes.
Their skill/ability is not conveyed properly to the recruiters
Writing Data Science resumes to get a job has never been this complicated before.
This is why I have created an e-book
186
165
380
Data Analytics can be divided based on the 5 types of questions it can answer
/๐งต/
6
79
398
Univariate, Bivariate, and Multivariate Analysis: Unveiling Data Dimensions
Univariate, bivariate, and multivariate analysis areย types of exploratory data analysis.ย
They are based on the number of variables being analyzed
Univariate analysis is the simplest and easiest form
3
99
391
Machine Learning: Interpretability VS Explainability
What's the difference?
8
52
397
Data Warehouse schema designs - Starโญ & Snowflake โ๏ธ
In most transactional databases that are used, the data isย normalizedย to reduce duplication.
In a data warehouse, however, the dimension data is generallyย de-normalizedย to reduce the number of joins required to query the
7
86
393
๐งฉ Simplifying SQL Joins: Lets deep dive ๐งฉ
Joins in SQL is a powerful technique that allows us to combine data from different tables based on related columns.
1/ INNER JOIN
This type of join returns only the matching rows from both tables.
It's like finding the intersection
7
112
388
A box plot is a chart that visually displays the distribution of numerical data.
Box plots, also known as box-and-whisker plots, are a fantastic way to display the distribution and key characteristics of a dataset.
They provide a clear and concise summary of:
๐Central
12
107
391
Data Analytics can be divided based on the 5 types of questions it can answer.
Descriptive analytics
What happened?
Descriptive analyticsย answers questions about what happened.
Descriptive analytics techniques summarize large datasets to present insights to stakeholders.
The
5
108
396
ETL vs. ELT: What's the difference?
Let's understand with business Examples
ETL
Extract, transform, and load (ETL) is a data pipeline used to collect data from various sources.
It then transforms the data according to business rules and loads the data into a destination data
7
94
381
๐งต Bayesian Probability Thread ๐งต
How to predict an event based on previous events?
6
98
374
Tableau Study Plan - 28 Days Timeline
Week 1: Introduction to Tableau
Day 1-3: Begin with the official Tableau Training Videos
Complete all the tutorials under โCreatorโ
Link:
Day 4-7: Watch the "Tableau Tutorials for Beginners" series
Link:
6
110
380
Feature importance helps us understand which features or variables impact the model's predictions most.
Feature importance is a crucial concept in data science, especially when building models for predictive tasks.
Let's break it down in simpler terms.
Imagine you're trying to
6
88
369
EDA is used to understand the datasets before diving into advanced analysis.
Exploratory Data Analysis is crucial, as it unveils:
>Characteristics of data
>Aids in the formulation of hypotheses
>Identification of patterns or anomalies
The steps of EDA include:
1.
10
83
366
Excel for Data Science Complete Study Plan ๐
The timeline of 30 days and you have to dedicate at least 1 hour a day.
7
108
365
Overfitting is a common problem in training ML models
Why does it happen and how to deal with it?
/๐งต/
9
63
361
SQL has two built-in functions for converting data types:
CAST and CONVERT
Type conversion is the process of converting one data type into another.
In SQL, data types can be converted either implicitly or explicitly.
Implicit conversions are not visible to the user.
SQL
4
80
367