In this article we will discuss about all the steps needed for Digital Marketing of any project.
It will include keyword research On Page SEO, off Page SEO, Social Media Optimization(SMO) and Marketing(SMM), Website Indexing in search engines and web data analytics for future plans.
We will share name and links of useful tools with steps.
This article will be useful for revision of Digital Marketing Course as well.
Note: Basic understanding of all the modules is necessary to understand the steps mentioned in this article.
Step 1 – Analyze the technology in which the website is developed.
You can this tool – www.builtwith.com
This tool will give you a list of programming languages in which the website is created. – Eg: HTML5, CSS3, Bootstrap | PHP, ASP.Net etc.
It will also tell you the name of CMS. – Eg: WordPress, Magento, Opencart etc.)
Most of the websites are built using languages like:
CASE A – HTML, CSS, JS. (Including Bootstrap)
CASE B – WordPress / Magento
CASE C – PHP with MySql
CASE D – ASP.NET with MSSql Server
On Page SEO for CASE A
Consider this template :
<!– SEO TAGS ARE WRITTEN HERE –>
<!—Go to SEO Meta Tags Generator Tool and Generate SEO Tags and Paste here
Eg : <meta charset=”utf-8″>
<title>Digital Marketing Executive</title>
<meta name=”description” content=”This is description”>
<meta name=”author” content=”Ankit”>
Important : Title Tag has focused keywords separated by , or | or – or any other separator.
These keywords can be obtained from Keyword Research Based on the Services of Website.
For Keyword Research: Go to https://keywordtool.io/google , search targeted keywords and get suggestions.
Use suggested keywords you want to target, in your:
<img src=”path of image” alt=”Targeted Keyword” title=”Targeted Keyword Variation”>
<p>First line of First Paragraph – Targeted Keyword</p>
<h2>Suggested Keywords or Secondary Keywords </h2>
<img src=”Path” alt=”Secondary Keyword” title=”Secondary Keyword Variation”>
<p>Paragraph explaining Keyword used in respective H2 </p>
Note: There can be more than one Secondary Keywords and hence we can use many H2 Tags containing secondary keywords.
Pretty Urls – Save the page with focused keyword in its name.
Note: Do not use spaces in page name.
Image Optimization: After adding Images make sure that image size should not exceed 100 KB
For this compression of size you can use following tool:
Social Media Optimization
Facebook has developed a Protocol Named – Open Graph Protocol (OG)
It enables website developers to control the information that is automatically fetched from website urls when they are shared on Social Media Sites like: Facebook, Google Plus, Linked In and even whatsapp.
Twitter has it’s own SMO protocol known as Twitter Cards.
For OG Meta Tags
Go to OG Meta Tags Generator
<meta property=”og:title” content=”Title for Social Media”>
<meta property=”og:description” content=”Description for Social Media “>
<meta property=”og:image” content=”Image to be displayed in Social Media”>
<meta property=”og:url” content=”URl Where you will paste this code”>
Note: Image dimensions should be 2(Width):1(height). Eg: 800px * 400 px
For Twitter Card Meta Tags
Go to Twitter Cards Generator
<meta name=”twitter:card” content=”summary”>
<meta name=”twitter:site” content=”@slide_scope”>
<meta name=”twitter:title” content=”Slidescop Digital Marketing Tutorial”>
<meta name=”twitter:description” content=”This is a twitter card description”>
<meta name=”twitter:image” content=”https://slidescope.com/wp/wp-content/uploads/2018/06/slidescope-logo-digital.png”>
<meta name=”twitter:image:alt” content=”Digital Marketing Tutorial”>
Note: Twitter card is of 4 types – Summary, Summary With Large Image, App Card, Player Card
For Summary with large image use image with 2(Width):1(height).
For Summary use square image.
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IoT Stands for Internet of Things. There has been a huge buzz about IoT recently. IoT has a potential of transforming future.
IoT requires sound knowledge of Embedded Systems and Website Coding Technologies.
IoT is made up of two words primarily, Internet and Things. Things are Electronic Devices and when they are connected to internet to receive and send data a term Internet of Things is used to describe them.
There are 7 Billion Electronic Devices in the world and according to a research this number will be increases to 50 billion by the end of 2020. Most of these devices will be a part of IoT. IPV6 Protocol will be used to provide IP address to these devices.
Explanation: Sensors and other devices are used to detect physical quantities such as:
Data detected from these physical quantities is converted into digital form or machine readable form by integrated circuits.
Digitalized data is supplied to computers by means of communication ports such as USB, Wifi, Bluetooth, Ethernet etc.
Applications or Software are designed to collect and display the data on VDUs.
Data can be transferred to Cloud Hosting Servers. Data on Cloud can be accessed from any other device connected to internet from any location in the world.
Consider an Example to better understand IoT:
You are wearing a smart watch that can detect your health parameters like Blood Pressure, Body Temperature etc. This data is also hosted on cloud and your doctor has the access to your health conditions. He can monitor, warn and consult you in case of problems.
Devices used to collect and convert data into usable formats are as follows:
Internet of Things was first used in 1970 in the Computer Science department at Carnegie Mellon University. Since then IoT is used in following sectors:
IoT has following useful applications:
This is an overview of the topics that are taught in IoT:
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Python is a general purpose high level programming language that is written in an interpreted way. It lets us work quickly and integrate systems more efficiently.
Python is a strong programming language that is used by websites like Youtube, Dropbox etc.
The philosophy of Python focuses on two points mainly:
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File Handling in Python
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In the previous part of this tutorial we explained the process of installing Python on your computer. In this tutorial we will explain about the Basic Syntax of Python language.
Once Python is installed in your computer you can use one of the following tools to code and execute python.
You can search for Python in your computer programs and you will find these two options.
IDLE is an integrated development environment for Python.
Other One is the Command Prompt Windows for Python Coding.
IDLE is a preferred option for Python Coding because it has a Coding Editor with built in auto suggest tool. It has nice color coding to differentiate between various elements of a code.
Python Uses a built-in function named print to print any statement.
If we want to print “Welcome to Python Tutorial” we can use the following command.
print (“Welcome to Python Tutorial by Slidescope”)
You can see the Screen Shot of IDLE Window.
The line with three Greater Than Signs >>> is the input line
The next line in Blue is the Output.
You can see the Statement to be printed is written in Round Brackets and Double Quotes.
You can also use single quotes.
Value written inside Quotes Represent a String Data type.
To print integer or float type values we don’t have to use single or double quotes.
Syntax to Print an Integer Value:
After writing the Input we have to press enter to execute the command and present output.
Please try using these commands in your practice and let us know if you have any doubts in the comment section below.
If you are not familiar about Data Types in Programming Languages then Refer to Our Next Tutorial which explains the data types topic.
Official Website of Python Is www.Python.org
This article will guide you through the process of Installing Python in your computer.
You can click on the respective links to Go to the Download Page and select the Python version of your choice.
Currently the version of Python is 3.6.5.
Once you are finished with downloading the executable file you can simply install Python by running it.
Python will create a Folder in your default or custom drive.
Python will also install IDLE, it is an integrated development environment for Python.
You can also run python in Command Prompt from the Python 3.6 File created in your All Programs >> Python 3.6 Folder.
Two other files will also be installed in the package which are the documentation files.
Here are the names of documentation files created in windows installation of Python
Python is a very powerful and easy to understand High Level Programming Language.
It is general purpose programming language which requires only interpreters and no compilers.
It is an object oriented language. Everything in python is an object.
Creator of Python was Guido van Rossum during 1985- 1990.
Python Supports following Programming Paradigms:
It has a large and comprehensive Standard Library.
Python is both Strongly Types and Dynamically Typed.
It Focuses on Readability and Productivity.
Python runs on all major operating systems including Windows, Mac Os or Linux. It is Cross platform.
Python is Opensource.
Python uses Whitespaces for Indentation.
If you are familiar with programming languages such as C or JAVA, you will find out that some expressions in Python are similar to them while others are not.
Python is used by famous organizations like:
Syntax of Python
Syntax of python is very easy to understand and write, to print “hello world”. You can write
print (“Hello World”)
डाटा एनालिटिक्स दो शब्दों से मिल के बना है – डाटा का अर्थ है आंकड़े और एनालिटिक्स का अर्थ है विश्लेषण | डाटा एनालिटिक्स का क्या अर्थ हुआ – आंकड़ों का विश्लेषण |
मार्केटिंग, रिसर्च और बिज़नस को बढाने के लिए जब आंकड़ों का विश्लेषण किया जाता है उसे डाटा एनालिटिक्स या बिग डाटा कहते हैं |
आंकड़ों को स्प्रेडशीट या टेबल में लिखना फिर उसको ग्राफ या चार्ट बना के विश्लेषण करना विश्लेषण करने के बाद प्राप्त की गयी जानकारी को सामान्य भाषा में लिख के देना जिससे की उसपर विचार करके उपयुक्त निर्णय लिया जा सकते | इस पूरी प्रक्रिया को डाटा एनालिटिक्स कहते हैं |
डाटा एनालिटिक्स का उपयोग प्रायः सभी व्यवसायों में होता है | डाटा एनालिटिक्स का प्रयोग करने वाले कुछ प्रमुख बिज़नस सेक्टर निम्नलिखित हैं :
डाटा एनालिटिक्स हमें अपने या हमारे क्लाइंट के व्यवसाय से जुडी हर ज़रूरी जानकारी देता है | इस जानकारी से हमें उन बातोँ का पता चलता है जो हमारे व्यवसाय को ऊपर की और ले जा रही हैं और उन बातोँ का भी पता चलता है जिसकी वजह से हमारे व्यवसाय को हानि हो रही है |
हम इन आंकड़ों की मदद से नए आईडिया सोच सकते हैं और अपने व्यवसाय को कामयाबी की तरफ ले जा सकते है |
डाटा एनालिटिक्स के लिए निम्लिखित टूल्स का प्रयोग किया जाता है :
R प्रोग्रामिंग लैंग्वेज
Python प्रोग्रामिंग लैंग्वेज
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