Salesforce Tutorial for Beginners | Salesforce For Beginners

In this Salesforce tutorial for beginners video, you will learn salesforce from scratch to the most advanced concepts. This salesforce training videos for beginners has covered everything you need to know about salesforce to become a salesforce developer. We have added salesforce interview questions also at the last so that you can prepare for the job interview as well.

Why should you watch this Salesforce tutorial?

Salesforce is a cloud-based platform that has transformed how companies have changed the ways to connect, build a meaningful and lasting bond with the customers, identify their needs and address problems faster and deploy apps that are customer-focused. We are offering the top Salesforce tutorial that can be watched by anybody to learn Salesforce.

Why Salesforce is important?

Salesforce is the most widely used CRM software in the world. It is accessible via the cloud platform and available on any device. Thanks to this extensive set of features for the entire sales, marketing and customer relationship life cycle there is increased demand for Salesforce developers and Salesforce administration professionals.

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Salesforce Tutorial for Beginners | Salesforce For Beginners
Jeromy  Lowe

Jeromy Lowe

1599097440

Data Visualization in R with ggplot2: A Beginner Tutorial

A famous general is thought to have said, “A good sketch is better than a long speech.” That advice may have come from the battlefield, but it’s applicable in lots of other areas — including data science. “Sketching” out our data by visualizing it using ggplot2 in R is more impactful than simply describing the trends we find.

This is why we visualize data. We visualize data because it’s easier to learn from something that we can see rather than read. And thankfully for data analysts and data scientists who use R, there’s a tidyverse package called ggplot2 that makes data visualization a snap!

In this blog post, we’ll learn how to take some data and produce a visualization using R. To work through it, it’s best if you already have an understanding of R programming syntax, but you don’t need to be an expert or have any prior experience working with ggplot2

#data science tutorials #beginner #ggplot2 #r #r tutorial #r tutorials #rstats #tutorial #tutorials

Aptron Delhi

Aptron Delhi

1623225899

Why Learn Salesforce? A whole manual to unlock Your Salesforce Career

So you are an IT or Management professional seeing approaches to specialize in a specialty region for fantastic vocation possibilities. Salesforce training would be a characteristic decision, as an ever increasing number of businesses are receiving Salesforce for their Customer Relationship Management(CRM) and marketing plans. You may likewise be an eCommerce professional or deal chief with a stale vocation, investigating an upskilling course. Jump overwhelmed with passion with the Salesforce stage that you have just known about, and get active with this market chief cloud offering through this article. APTRON offers the best Salesforce Training in Delhi as per the current industry standards.

A Salesforce certification is an incredible method to acquire ability on the planet’s main CRM cloud stage that is sought after across businesses, all things considered. In addition, as the quantity of Salesforce stage end-clients increments steeply, organizations face a lack of professionals gifted in Salesforce knowledge. They need Salesforce proficient individuals who know the stage and can utilize its numerous services for business needs.

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What is Salesforce?

Salesforce is a main cloud technology organization with multiple Software as a Service (SaaS) and stage as an assistance (PaaS) items, and a correlative set-up of big business applications. Its attention on customer administration, marketing computerization, and examination; along with a consistent climate for application development and improvement, has made it a definitive go-to stage for item development around customer needs.

Although Salesforce started as a CRM framework that integrates all aspects of a customer touchpoint in a solitary stage, it differentiated to offer more capabilities. Engineers can construct profoundly altered applications utilizing the Heroku cloud stage for multiple language support. While its Community Cloud empowers outside coordinated effort, a persistent arrangement of continuous criticism through Work.com expects to improve execution. The AppExchange upholds the making of business products and a commercial center for your business products. As a total start to finish arrangement, Salesforce’s myTrailhead permits customization of products to customer needs and the formation of extra applications, utilizing the PaaS Lightning Platform. A new rollout, the Blockchain Platform, even works with building blockchain networks and applications. Salesforce likewise has different non-CRM contributions like Financial Cloud, Health Cloud, IOT Cloud, etc. At last, Salesforce assists with building better businesses with profoundly created and altered applications that coordinate well with the infrastructure. APTRON is Best Salesforce Institute in Delhi.

As a cloud stage, Salesforce offers a wide scope of products and solutions for SMEs (little and medium endeavors) and enormous organizations. Salesforce entered the start- up space through sponsored permit rates and later embraced different charge structures, hence guaranteeing general worldwide adoption of its set-up of services. The highlights incorporate every one of the potential parts of marketing, deals, trade, administration, and tasks.

Motives to Learn Salesforce

The Salesforce stage rules the world market, with more than 150,000 organizations fueling their business development with Salesforce. From independent companies to tech monsters like Google and Facebook, firms are utilizing their set-up of services and products to take care of business problems. Businesses across the range have received Salesforce for their ordinary cycles and work needs. Salesforce occupations are bounty, and the scope for Salesforce vocations is tremendous.

The flexibility of Salesforce to customize, build, and distribute apps within the platform has bred innovation and furthered cloud deployment in an increasingly digital economy.

Worldwide, the work development inside the Salesforce biological system is projected to be the most noteworthy in the financial services area and manufacturing industry. The retail, correspondences, and media industries are additionally expected to be top clients of Salesforce. What’s the significance here? In the event that you are now working in any of these areas, a Salesforce certification can future-verify your profession.

Businesses are in the midst of a significant digital transformation, and the cloud is a crucial factor in its success. So upgrading skills in cloud technologies like the Salesforce will be a springboard for success.

How Can Salesforce Certification Advantage Your Career?

Many companies, who move to Salesforce, face issues in integrating the services inside their IT framework or neglecting to streamline their outreach groups with an incorporated useful arrangement. The result was that numerous highlights and functionalities were missing, and the stage couldn’t be utilized to its maximum capacity. Although Heroku settled the issue by integrating applications and microservices utilizing different techniques, it got officeholders upon the Salesforce wannabe professional to have formal Salesforce training.

There are different ways you can quickly track your career with a Salesforce certification. Look at the many occupation jobs and you can contact for a Salesforce Course in Delhi. Each work job requires a particular Salesforce certification. Outfit yourself with the correct certification to land the position you need. As the interest for any Salesforce work job is high, a certification furnishes you with specialized Salesforce requirements. The privilege of Salesforce training props you ahead in a specialty region where the scope for career development and pay is out of this world.

Also Read: Salesforce Interview Questions Answers

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akshay L

akshay L

1571726598

Salesforce Lightning Tutorial

This salesforce developer training for beginners video is a salesforce lightning tutorial where you will learn introduction to salesforce, salesforce components, salesforce lightning, lightning vs classic, lightning advantages & usage, how to create your first lightning component, career growth in salesforce lightning and salesforce lightning project in detail.

#Salesforce Lightning Training #Salesforce Developer Training #Salesforce for Beginners #Salesforce #Salesforce Lightning

Willie  Beier

Willie Beier

1596728880

Tutorial: Getting Started with R and RStudio

In this tutorial we’ll learn how to begin programming with R using RStudio. We’ll install R, and RStudio RStudio, an extremely popular development environment for R. We’ll learn the key RStudio features in order to start programming in R on our own.

If you already know how to use RStudio and want to learn some tips, tricks, and shortcuts, check out this Dataquest blog post.

Table of Contents

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Tutorial: Loading and Cleaning Data with R and the tidyverse

1. Characteristics of Clean Data and Messy Data

What exactly is clean data? Clean data is accurate, complete, and in a format that is ready to analyze. Characteristics of clean data include data that are:

  • Free of duplicate rows/values
  • Error-free (e.g. free of misspellings)
  • Relevant (e.g. free of special characters)
  • The appropriate data type for analysis
  • Free of outliers (or only contain outliers have been identified/understood), and
  • Follows a “tidy data” structure

Common symptoms of messy data include data that contain:

  • Special characters (e.g. commas in numeric values)
  • Numeric values stored as text/character data types
  • Duplicate rows
  • Misspellings
  • Inaccuracies
  • White space
  • Missing data
  • Zeros instead of null values

2. Motivation

In this blog post, we will work with five property-sales datasets that are publicly available on the New York City Department of Finance Rolling Sales Data website. We encourage you to download the datasets and follow along! Each file contains one year of real estate sales data for one of New York City’s five boroughs. We will work with the following Microsoft Excel files:

  • rollingsales_bronx.xls
  • rollingsales_brooklyn.xls
  • rollingsales_manhattan.xls
  • rollingsales_queens.xls
  • rollingsales_statenisland.xls

As we work through this blog post, imagine that you are helping a friend launch their home-inspection business in New York City. You offer to help them by analyzing the data to better understand the real-estate market. But you realize that before you can analyze the data in R, you will need to diagnose and clean it first. And before you can diagnose the data, you will need to load it into R!

3. Load Data into R with readxl

Benefits of using tidyverse tools are often evident in the data-loading process. In many cases, the tidyverse package readxl will clean some data for you as Microsoft Excel data is loaded into R. If you are working with CSV data, the tidyverse readr package function read_csv() is the function to use (we’ll cover that later).

Let’s look at an example. Here’s how the Excel file for the Brooklyn borough looks:

The Brooklyn Excel file

Now let’s load the Brooklyn dataset into R from an Excel file. We’ll use the readxlpackage. We specify the function argument skip = 4 because the row that we want to use as the header (i.e. column names) is actually row 5. We can ignore the first four rows entirely and load the data into R beginning at row 5. Here’s the code:

library(readxl) # Load Excel files
brooklyn <- read_excel("rollingsales_brooklyn.xls", skip = 4)

Note we saved this dataset with the variable name brooklyn for future use.

4. View the Data with tidyr::glimpse()

The tidyverse offers a user-friendly way to view this data with the glimpse() function that is part of the tibble package. To use this package, we will need to load it for use in our current session. But rather than loading this package alone, we can load many of the tidyverse packages at one time. If you do not have the tidyverse collection of packages, install it on your machine using the following command in your R or R Studio session:

install.packages("tidyverse")

Once the package is installed, load it to memory:

library(tidyverse)

Now that tidyverse is loaded into memory, take a “glimpse” of the Brooklyn dataset:

glimpse(brooklyn)
## Observations: 20,185
## Variables: 21
## $ BOROUGH <chr> "3", "3", "3", "3", "3", "3", "…
## $ NEIGHBORHOOD <chr> "BATH BEACH", "BATH BEACH", "BA…
## $ `BUILDING CLASS CATEGORY` <chr> "01 ONE FAMILY DWELLINGS", "01 …
## $ `TAX CLASS AT PRESENT` <chr> "1", "1", "1", "1", "1", "1", "…
## $ BLOCK <dbl> 6359, 6360, 6364, 6367, 6371, 6…
## $ LOT <dbl> 70, 48, 74, 24, 19, 32, 65, 20,…
## $ `EASE-MENT` <lgl> NA, NA, NA, NA, NA, NA, NA, NA,…
## $ `BUILDING CLASS AT PRESENT` <chr> "S1", "A5", "A5", "A9", "A9", "…
## $ ADDRESS <chr> "8684 15TH AVENUE", "14 BAY 10T…
## $ `APARTMENT NUMBER` <chr> NA, NA, NA, NA, NA, NA, NA, NA,…
## $ `ZIP CODE` <dbl> 11228, 11228, 11214, 11214, 112…
## $ `RESIDENTIAL UNITS` <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1…
## $ `COMMERCIAL UNITS` <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ `TOTAL UNITS` <dbl> 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1…
## $ `LAND SQUARE FEET` <dbl> 1933, 2513, 2492, 1571, 2320, 3…
## $ `GROSS SQUARE FEET` <dbl> 4080, 1428, 972, 1456, 1566, 22…
## $ `YEAR BUILT` <dbl> 1930, 1930, 1950, 1935, 1930, 1…
## $ `TAX CLASS AT TIME OF SALE` <chr> "1", "1", "1", "1", "1", "1", "…
## $ `BUILDING CLASS AT TIME OF SALE` <chr> "S1", "A5", "A5", "A9", "A9", "…
## $ `SALE PRICE` <dbl> 1300000, 849000, 0, 830000, 0, …
## $ `SALE DATE` <dttm> 2020-04-28, 2020-03-18, 2019-0…

The glimpse() function provides a user-friendly way to view the column names and data types for all columns, or variables, in the data frame. With this function, we are also able to view the first few observations in the data frame. This data frame has 20,185 observations, or property sales records. And there are 21 variables, or columns.

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