How to Learn Data Science and Have Fun - 365 Data Science v3.0 [New]
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True heroes donโt wear capes โ they are ordinary people who embark on an extraordinary journey. It isnโt always glamorous, clearly defined, or understood by others, but it always requires hard work and conviction.
At 365, we know that to break into data science, you must consistently make progress towards your goals day after day. And it is up to you โ and only you โ to turn your objectives into reality.
We want to celebrate the unsung heroes who relentlessly develop their skills, and do not quit even though the journey is difficult.
Learning alone is hard. We understand that. It can be alienating. But persevering through the tough times is the only way to succeed and grow professionally.
Our mission at 365 Data Science is to help you on this quest.
With this purpose in mind, we created a learning platform that aims to turn studying every day into a habit rather than a chore and make it a little more fun.
Now you can share this transformational experience with a community of motivated students pursuing the same goals. Compete in a leaderboard, gather experience points, level up, win coins, and acquire collectible cards hand-drawn by our team to celebrate pioneers of foundational sciences. Every card carries a unique benefit, and at the end of the journey, the final reward awaits - industry-recognized certificates that will help you achieve your career goals.
The new platform is gamified and designed to motivate you to overcome all the obstacles along the way. Because learning is hard, but it can also be fun.
We made all these upgrades as our mission is to be with you on the most important journey you will ever take in your professional life โ the journey that will help you become your own hero. A data science hero.
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Population vs Sample
365 Data Science
Data Science & Statistics: Levels of measurement
365 Data Science
Statistics Tutorials: Mean, median and mode
365 Data Science
Skewness
365 Data Science
What is a distribution?
365 Data Science
The Normal Distribution
365 Data Science
Central limit theorem
365 Data Science
Student's T Distribution
365 Data Science
Type I error vs Type II error
365 Data Science
Hypothesis testing. Null vs alternative
365 Data Science
The linear regression model
365 Data Science
Simple linear regression model. Geometrical representation
365 Data Science
INDEX and MATCH application of the two functions separately and combined [Advanced Excel]
365 Data Science
INDIRECT Excel Function: How it works and when to use it [Advanced Excel]
365 Data Science
VLOOKUP and MATCH another useful functions combination [Advanced Excel]
365 Data Science
VLOOKUP COLUMN and ROW - Handle large data tables with ease [Advanced Excel]
365 Data Science
The ELIF keyword [Python Fundamentals]
365 Data Science
Working with Tuples in Python
365 Data Science
Database Terminology - A Beginners Guide
365 Data Science
Relational Database Essentials
365 Data Science
Database vs Spreadsheet - Advantages and Disadvantages
365 Data Science
Conditional Statements and Loops
365 Data Science
Backpropagation โ The Math Behind Optimization
365 Data Science
Monte Carlo: Forecasting Stock Prices Part I
365 Data Science
Monte Carlo: Forecasting Stock Prices Part II
365 Data Science
Monte Carlo: Forecasting Stock Prices Part III
365 Data Science
365 Data Science Online Program
365 Data Science
Data frames - Creating a data frame
365 Data Science
Data Science & Statistics: Slicing a matrix in R
365 Data Science
Data frames in R - Exporting data in R
365 Data Science
Data frames in R - Transforming data PART II
365 Data Science
Data Frames in R - Subsetting a data frame
365 Data Science
Data Science & Statistics: Matrix arithmetic in R
365 Data Science
Data Science & Statistics: Indexing an element from a matrix
365 Data Science
Data Frames in R - Extending a data frame
365 Data Science
Data Science & Statistics: Creating a matrix in R FASTER
365 Data Science
Data Science & Statistics: Creating a Matrix in R
365 Data Science
Data frames - Importing data in R
365 Data Science
Data frames in R - Getting a sense of your data
365 Data Science
Data frames in R - Transforming data PART I
365 Data Science
Data frames in R - Import a CSV in R
365 Data Science
Data Science & Statistics: Matrix operations in R
365 Data Science
Data Science & Statistics: Matrix recycling in R
365 Data Science
Tableau vs Excel: When to use Tableau and when to use Excel
365 Data Science
Download Tableau: Learn how to download Tableau Public
365 Data Science
Connecting data sources: Useful tips when connecting data sources to Tableau
365 Data Science
The Tableau interface: See how to navigate through the Tableau interface
365 Data Science
Tableau data visualization: Create your first Tableau visualization!
365 Data Science
Duplicating sheets: This is how to duplicate a sheet in Tableau
365 Data Science
Build a table in Tableau: The steps needed to create a simple table in Tableau
365 Data Science
Custom fields in Tableau: Using Tableau operators to create custom fields
365 Data Science
Custom fields in Tableau: Add calculations to tables through custom fields
365 Data Science
Totals in Tableau: Learn how to display subtotals and totals in Tableau
365 Data Science
Gross Margin calculation in Tableau
365 Data Science
What is a filter in Tableau: Set up a filter in Tableau to specify the data you want to show
365 Data Science
Joins in Tableau: Inner, outer, left, or a right join in Tableau
365 Data Science
Building a Tableau dashboard: Three types of charts you want to have in a Tableau dashboard
365 Data Science
Creating great looking charts in Tableau: Real life Exercise on charts in Tableau
365 Data Science
Joins in Tableau: Choose the correct join type
365 Data Science
How to make a data check in Tableau: A quick data check is better than no data check
365 Data Science
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