In this video, Trainer & Speaker Ms. Jyeshtha Bhagat gives complete knowledge and insights on “Content Marketing”.
“Content marketing is a strategic marketing approach focused on creating and distributing valuable, relevant, and consistent content to attract and retain a clearly-defined audience and, ultimately, to drive profitable customer action”. The rise in digitization has brought in exponential value for content; Indeed ‘Content is the King’. Content marketing helps to improve conversions because it allows you not only to establish a connection with your customers but also to educate them. It means that content marketing is a long-term strategy that focuses on giving customers high-quality content that is very relevant to them on a consistent basis. Instead of pitching your products or services, you are providing truly relevant and useful information to your customers to help them solve their problems.
For more insights, you can but the book Marketing Masterclass – By Prathamesh Veling Founder & Director of Magic Institute of Excellence. He is Market Research & Analytics Professional; by qualification, he is B.E, MBA, MA (Economics) and MA (Psychology)
Book Status: COMING SOON…!!! (Purchase link will be shared soon).
You can leave your email id in the comment box our team will get back to you as soon as the book is launched. The First 50 lucky draw winners will get the book for FREE..!!!
The vision of MIE is to bring in transformation in the mindset of people towards education. Join us on this journey and help us support this cause.
These data science projects should be where you start and not featured on your resume. Data science projects that are on unique data sets and that are more advanced will help you get a job. These 3 projects will help you learn the concepts and get you familiar with python.
In this video, we will learn what are the skills required to choose Data Analyst as a Career option for one. Also, we will look at the scope of a person who looks forward to working as a Data Analyst.
We will also look at the tools required for while working as a Data Analyst. And what education and Degrees are required in order to be a Data Analyst. Also in this video, the importance of Data Analyst in the corporate world is Discussed.
All the doubts Related to Data Analyst and Data Science are Discussed in detail in this video.
1. Business Analyst
2. Management Reporting
3. Corporate Strategy Analyst
4. Budget Analyst
5. Social Media Data Analyst
6. Data Analyst
How to Become A Data Analyst | Data Analyst Career Path
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Ok, so here’s the thing. I’m sure you must have seen a lot of videos or lists talking about SEO tools. But there’s a problem with many of these videos. One, these tools are usually too technical and meant for advanced SEO users. I mean everybody knows about SEO. But nobody has time to do these crazy advanced SEO stuff right? We need results and we need it quickly. The tools I’m going to talk about are super easy to use and meant for anyone. Not the advanced level bullshit.
Second, most of these tools that usually get mentions are paid and expensive. In India, we all know how price-conscious we are. No matter how awesome the product is, we all want that free version. So, I’ve made it a point to add only those SEO tools that are either completely free or offer a free version. No money involved here.
So, without wasting time, let’s get straight to the point. 10 Best free SEO tools for beginners!
This video is going to be helpful for any person who is interested to learn email marketing for their interest, for their business or who wants to make money doing email marketing for their clients.
From this MailChimp Email Marketing Tutorial video, you will learn –
1. How to create and set up a free MailChimp account? 0:55
2. Learn about the Email list and add subscribers to your email list 4:38
3. Create an automated welcome email for new subscribers 13:46
4. How to create an embedded email form and add it to a website 24:50
5. Set up an email template, add image, video, links and social media profiles to the email newsletter 31:08
6. Send your first email campaign 43:00
7. Finally, learn about reporting of an email campaign 45:11
MailChimp is one of the most popular Email Marketing platforms available out there. It is popular in the email marketing network for many reasons.
Beginner friendly, easy to use features and pricing took it to the next level of popularity!
Even, a beginner who has never tried MailChimp or any other email marketing platform before – will be able to use it efficiently by watching one single video tutorial! – it is that easy!
With a Free MailChimp account, a beginner will be able to add, up to 2000 subscribers to their email list and will be able to send 10,000 emails each month to the list for no cost! – can you imagine how beginner-friendly MailChimp is?
So, you are going to get all the grasp in this field from this step by step mailchimp email marketing tutorial!
* The information on the videos and the resources available for download/viewing through this YouTube Channel are for educational and informational purposes only.
**By making a purchase through any of the affiliate links above, I (Azharul Rafy) receive a very small commission at no extra cost to you. This helps me keep on my mission to provide quality education to you. Thank you!
Intellipaat Data Science Course is a free Data Science tutorial for beginners as well as professionals to learn Data Science and its algorithms in a comprehensive crash course. This complete Data Science course masters you to learn the Data Science principles, tools, algorithms, and methodologies that make it a powerful medium to solve business problems.
Below are the topics covered in this Data Science for Beginners Course video:
01:45 – Who is a Data Scientist?
03:03 – Where do Data Scientist come from?
05:34 – What does a Data Scientist do?
09:00 – Prerequisites to become a Data Scientist
13:12 – Data Scientist Roles and Responsibilities
19:17 – Data Scientist Salary
21:05 – Who’s hiring Data Scientist?
22:51 – Need of Data Science
24:13 – What is Data science?
25:14 – Understanding Different Techniques
25:21 – Data Visualization
25:39 – Data manipulation
26:05 – Statistical Analysis
26:25 – Machine Learning
28:09 – Life Cycle of Data Science
28:23 – Data Acquisition
28:50 – Data Preprocessing
29:06 – Model building
29:22 – Pattern Evaluation
29:44 – Knowledge Representation
30:03 – Chat-Bots
30:27 – Self driving Cars
30:45 – Sentiment Analysis
31:08 – Image – Tagging
31:25 – What is Numpy?
33:21 – How to Create Numpy Array?
36:10 – 2d Arrays in Numpy
39:37 – Numpy Array Initialization
47:00 – Numpy Array Inspection
01:06:50 – Numpy Broadcasting
01:09:40 – Indexing and Slicing in Python
01:15:23 – Array Manipulation in Python
01:36:30 – Advantages of Numpy over List
01:45:56 – Pandas Module
01:46:50 – What is Pandas?
01:48:24 – Where did the name pandas come from?
01:49:55 – Features of Pandas
01:56:20 – Pandas vs Numpy
01:58:24 – How to import Pandas in Python?
01:59:09 – Data Structure in Pandas
02:00:29 – What is series object?
02:03:00 – How to change the Index name?
02:05:16 – What is a DataFrame?
02:06:03 – Features of DataFrame
02:07:27 – How to Create DataFrame?
02:18:40 – Merge, Join and Concatenate
02:56:00 – Quiz
02:58:45 – Basics of Data Visualization
03:05:45 – Plotting the graphs (Matplotlib Demo)
03:13:33 – Data Visualization Libraries
03:15:35 – What is Matplotlib?
03:16:20 – Why choose Matplotlib?
03:21:45 – Types of Plots and Demo on Matplotlib
04:29:55 – Introduction to Machine Learning
04:41:46 – What is Machine Learning?
04:43:30 – How does Machine Learn?
04:45:16 – Machine Learning popular Myth!
04:47:31 – Types of Machine Learning
04:48:05 – Supervised Learning
04:51:26 – Unsupervised Learning
04:59:36 – Reinforcement Learning
05:11:26 – Types of Regression
06:23:45 – Logistic Regression
06:44:27 – Spam Email Classifier
07:55:55 – What is Classification
07:56:47 – Types of Classification
08:08:11 – Visualizing a Decision Tree
08:10:00 – Decision Tree Terminology
08:14:35 – Creating a Decision Tree
08:16:00 – How do we split a Tree?
08:17:55 – Calculating Entropy
08:33:56 – Confusion Matrix
08:36:00 – Decision Tree Example Hands-on
08:45:10 – Understanding Naive Bayes Classifier
09:02:44 – Clustering algorithms
09:03:38 – What is Clustering?
09:04:57 – Examples of Clustering
09:08:20 – Types of Clustering
09:12:40 – K means Clustering
09:12:04 – What us k-means Clustering?
09:15:24 – Business Application of K-Means
09:16:36 – Understanding K-means Algorithm
09:34:27 – Python Project
10:33:50 – Python Interview Questions
11:21:57 – Machine Learning with Python
11:30:27 – Data Science Project
12:11:30 – Quiz
12:11:50 – Data Science Interview Questions
📰Interested to know about Data Science certifications? Read this blog: https://intellipaat.com/blog/data-science-certification/
1. 24*7 Life time Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
5. Industry Oriented Course ware
6. Life time free Course Upgrade
For more information:
Please write us to [email protected] or call us at: +91-7847955955
In this video, we go over the exact techniques you need to use in order to do proper shopify SEO for your Shopify dropshipping store starting 2020! Use these techniques to utilize the power of SEO and take your Shopify store to the next level of success!
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Being in the mentality to help people solve problems through valuable content will get more people to stop and listen to the message you are bringing across.
The 7 strategies covered in this training include:
1. Blogging with SEO in mind
2. Invest in video content (hint: YouTube)
3. Social media marketing
4. Paid advertising
6. Email marketing
7. Forums and community boards
While it may be tempting to do all 7 at once, we encourage you to focus on ONE digital marketing channel before trying the next.
Reap the benefits of marketing on the internet and grow traffic to your business.
0:47 Adopt today’s mindset of the consumer
1:28 Blog with SEO in mind
4:22 Invest in video content, specifically on YouTube
6:06 Start some social media marketing
7:58 Invest in paid advertising
10:47 Get interviewed for podcasts
12:34 Look into the email marketing
In this tutorial, you are going to learn about the basics of designing user interfaces (UI) for mobile apps. I will talk about the process for both Android and iOS Apps. Even before we start thinking about fonts and colors, it is important to understand about the actual mobile devices. Since the apps we design are going to be viewed on multiple types of mobile devices, it becomes important to understand the right way to design.
So in this tutorial, I will explain various concepts about picking the right Artboard Size, Screen Resolution, Screen Density (also called as Pixel Density), Aspect Ratio, Constraints, Exporting Assets and the difference between designing for Android phones and iPhones.
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