Digital marketing has become an essential skill in today’s world, and with the rapid growth of the internet, it has become more critical than ever for businesses to have a strong online presence. As a graduating student, you have the opportunity to develop your skills in digital marketing and become an expert in the field. However, choosing the best digital marketing course can be a daunting task, given the vast number of options available. In this blog post, we will explore the best digital marketing courses for graduating students.

Before we dive into the details of the best digital marketing courses, let’s first understand what digital marketing is and why it is essential.

What is Digital Marketing?

To promote a product or service, digital marketing uses digital channels, such as search engines, social media, emails, and websites. It involves various strategies, such as search engine optimization (SEO), pay-per-click advertising (PPC), content marketing, social media marketing, email marketing, and mobile marketing.

Why is Digital Marketing Important?

In today’s digital age, most people spend a significant amount of time online, and businesses must establish a strong online presence to reach their target audience. Digital marketing enables businesses to connect with their customers and target them more effectively. It is also cost-effective compared to traditional marketing methods, and it provides businesses with measurable results.

Now that we have a basic understanding of digital marketing let’s explore the best digital marketing courses for graduating students.

Best Digital Marketing Course for Graduate Students by Skill Vertex:

Digital marketing is a rapidly growing field, and as more and more businesses shift their focus to online platforms, the demand for digital marketing professionals has skyrocketed. For graduating students, developing skills in digital marketing can be a valuable investment for the future careers. 

Skillvertex’s Digital Marketing Course is designed to equip students with a comprehensive understanding of various digital marketing strategies, internet marketing, the impact of social media, SEO, e-commerce, data analytics, marketing tools, and sales management strategies. 

In this blog post, we will dive deeper into the content and benefits of Skillvertex’s Digital Marketing Course, and how it can help to graduate students jump-start their careers in the digital marketing industry.

Why should the graduate choose SkillVertex Digital Marketing Course over others?

The Skillvertex Digital Marketing Course is designed to provide students with a comprehensive understanding of digital marketing concepts, tools, and strategies. The course covers a range of topics, including marketing fundamentals, digital marketing prerequisites, performance metrics, search engine optimization, social media marketing, and paid search marketing.

In this course, students will learn the ins and outs of digital marketing, including market prerequisites and how to analyze the performance of marketing campaigns. The course also covers how to implement different algorithms and models for various problem statements. Additionally, students will learn how to create dashboards, storytelling, and deploy models.

Key Highlights:

• The opportunity to intern with Skillvertex on live projects
• Provides students with hands-on experience in a real-world setting
• Allows students to apply the concepts and strategies they have learned
• Helps in developing a strong skill set
• Can be beneficial for future career prospects

Course Overview and Features

• The course comprises 21 hours of video lectures
• Lectures are accessible through a lifetime learning management system (LMS)
• Students can access course materials on mobile or laptop devices
• Students can attend live or recorded sessions
• Students will receive dedicated mentorship assistance throughout the course

Click here to get the free trial of Digital Marketing Course by Skillvertex

Course Projects and Certification:

• The course includes two industrial projects (minor and major)
• Students will receive a certificate of completion upon finishing the course
• Internship opportunities will be provided to further enhance learning

Module-Based Curriculum and Course Topics:

The program curriculum is divided into six modules.

Module 1 – Marketing 101: 

• Brief Introduction to Marketing and Digital Marketing
• Marketing Mix
• Offline and Online Marketing Channels

This module provides an introduction to marketing concepts and principles. It covers topics such as the marketing mix, market segmentation, consumer behavior, and marketing research. Students will gain an understanding of the fundamentals of marketing and its role in the business world.

Module 2 – Marketing Prerequisites: 

• What are the websites and types of websites?
• Application and types of mobile applications
• Types of products

This module focuses on the prerequisites for effective marketing, including branding, positioning, and messaging. Students will learn how to develop a brand identity, create a unique value proposition, and craft messaging that resonates with their target audience.

Module 3 – Digital Marketing Performance Metrics: 

• Impression, Reach, and Frequency
• Click, CTR, Conversions
• CPC and CTR
• Engagement Rate
• Organic and Inorganic Marketing

In this module, students will learn how to measure the performance of their digital marketing campaigns. They will gain an understanding of key metrics such as conversion rates, click-through rates, and return on investment (ROI). Students will also learn how to use analytics tools to track and optimize their campaigns.

Module 4 – Search Engine Optimization: 

• On-Page SEO Checklist
• Off-Page SEO Checklist
• BSEO toolkit – How to do keyword research

This module covers the basics of search engine optimization (SEO), including keyword research, on-page optimization, and link building. Students will learn how to improve their website’s search engine rankings and drive organic traffic to their site.

Module 5 – Social Media Marketing: 

• Introduction to Social Media
• Types of Social Media Marketing
• Social media marketing case studies

This module focuses on social media marketing strategies and tactics. Students will learn how to create and execute social media campaigns across various platforms, including Facebook, Twitter, and Instagram. They will also learn how to measure the effectiveness of their campaigns using social media analytics tools.

Module 6 – Paid Search Marketing: 

• Introduction to PPC and AdWords
• Types of Google Ads
• How to Setup Google Ad
• A quick glimpse of Google Analytics

This module covers paid search marketing strategies, including pay-per-click (PPC) advertising. Students will learn how to create and manage PPC campaigns on platforms such as Google AdWords and Bing Ads. They will also learn how to optimize their campaigns for maximum ROI.

Skillvertex’s digital marketing course Takeaways :

• Comprehensive overview of marketing concepts and strategies
• Focused on digital marketing with six modules covering various topics
• Opportunity to apply knowledge through two industrial projects
• Mentorship assistance provided throughout the course
• Certificate of completion awarded upon finishing the course
• Internship opportunities are provided to further enhance learning
• Develop a strong skill set and gain practical experience in marketing

To learn more and register for Skillvertex Digital Marketing upskilling, click this link.

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Data Science Courses After 12th: Data Science has emerged as one of the hottest career options in recent times. With the rapid growth of technology and the increasing demand for data-driven solutions, companies are always on the lookout for skilled data scientists who can analyze complex data sets and make business decisions based on insights. As a 12th pass student, you might be wondering what data science course you should take to enhance your knowledge and skills. 

We’ll explore the best data science courses for 12th students today..

What is Data Science ?

Data science is a field that uses scientific methods to extract insights and knowledge from data. It involves various stages of the data lifecycle, including data collection, cleaning, analysis, visualization, and communication of insights. 

Data scientists use tools like machine learning algorithms, data mining, and visualization to provide data-driven solutions to real-world problems. It has applications in fields such as finance, healthcare, and e-commerce, and is changing the way we approach problems and make decisions.

Why Data Science is Important?

In today’s world, data is everywhere. Every time you browse a website, use a mobile app or make a purchase online, you generate data. But what happens to all that data? How can businesses and organizations make sense of it all?

Think about it – when you order something from an online store, have you ever noticed how they suggest other products that you might be interested in? That’s the power of data science in action. 

By analysing your past purchases and browsing history, the online store can personalize its offerings to better match your interests.

For example, a food delivery company could use data science to optimize its delivery routes and reduce the amount of time and fuel it takes to make deliveries. Or, a healthcare company could use data science to identify patterns in patient data and develop new treatments for diseases.

In short, data science is a game-changer for businesses and organizations. It provides them with insights that they might not have been able to uncover otherwise, and helps them make informed decisions that can improve their operations and profitability. So, if you’re a business owner or thinking of pursuing a career in data science, understanding the importance of data science is crucial for your success.

Best Data Science Courses After 12th by Skill Vertex:

Data Science is a valuable field of study for 12th Pass students because it provides many job opportunities, gives them a competitive edge in the job market, promotes innovation, can be applied to various industries, and fosters personal development. 

Skill Vertex provides an extensive Data Science course that will help you become an expert in interpreting data. The course will help you develop skills in data analysis, data visualization, machine learning, and statistical modeling. With this training, you’ll be able to extract insights and knowledge from data, make data-driven decisions, and predict future trends.

In this blog post, we will dive deeper into the content and benefits of Skillvertex’s Data Science Course, and how it can help to 12th Pass students jump-start their careers in the digital marketing industry.

Why Should the Choose SkillVertex Data Science Course Over Others?

It can be a daunting and exciting experience to 12th Pass from university. With so many career paths to choose from, it’s essential to choose a field that is in demand and has excellent career prospects. 

One such field is Data Science, and if you’re interested in pursuing a career in this industry, Skill Vertex’s Data Science course is the perfect place to start. 

Here’s why you should choose Skill Vertex over other providers:

• Comprehensive Learning Experience
• Hands-on Experience
• Work on Capstone projects
• Experienced Faculty
• Career Support

Skill Vertex’s Data Science course is an excellent choice for 12th Pass students looking to pursue a career in Data Science. With a comprehensive learning experience, hands-on experience, experienced faculty, internship opportunities, and career support, Skill Vertex has everything you need to succeed in this exciting field. 

Enroll today and take the first step towards a fulfilling career in Data Science.

Key highlights :

• 48+ hours of video lectures
• Lifetime LMS access on mobile or laptop
• Dedicated mentorship assistance

Choose live or recorded sessions and take the first step toward a rewarding career in Data Science!

Course overview and Features:

• Learn hardware and OS management with Linux
• Gain project management skills using YARN, GitHub, and Git Bash
• Kickstart your learning with Python
• Master Data Science and Analytics techniques using Python programming
• Learn Mathematics and Statistics concepts required to work with data
• Master machine learning techniques
• Intern with live projects to enhance practical skills.

Click here to get the free trailer  of Data science Course by Skillvertex

Data Science Courses After 12th – Course Projects and Certification:

• The course includes two industrial projects (minor and major)
• The course will culminate with the students receiving a certificate of completion
• Internship opportunities will be provided to further enhance learning

Data Science Courses After 12th – Module Based Curriculum and Course Topics

The program curriculum is divided into seven modules.

Module 1 – Introduction to Python 

• Objects and Data Structure 
• Functions in Python Modules 
• packages Statements in Python 
• Basic built-in Python modules 

Module 1 of Skill Vertex’s Data Science program covers an introduction to Python, including objects and data structures, functions, modules, and statements. You’ll learn how to use basic built-in Python modules and be ready to tackle advanced data science topics.

Module 2 – Necessary Data Science Modules

• Numpy (vector procession)
• Pandas (Data Processing)
• Matplotlib (visualization)
• Seaborn (Visualization)
• SK-Learn

Module 2 of Skill Vertex’s Data Science program focuses on the necessary modules for data science, including NumPy for vector procession, Pandas for data processing, Matplotlib and Seaborn for visualization, and Scikit-Learn for machine learning. You’ll learn how to use these tools to manipulate and analyze data, visualize results, and build machine-learning models.

Module 3 – Data Pre-processing

• Acquiring and importing datasets
• Feature engineering and selection, including identifying important features
• Handling missing values
• Scaling and normalizing data
• Handling categorical features
• Data decomposition and splitting

In Module 3 of Skill Vertex’s Data Science program, students learn how to preprocess data for analysis. This module covers several essential data processing techniques, including acquiring and importing datasets, feature engineering, and selection, handling missing values, scaling and normalizing data, and handling categorical features.

Module 4 – EDA(Exploratory Data Analysis)

• Answering questions through data
• Data visualization (line, scatter plots, etc.)
• Analyzing various aspects of the data
• Statistical analysis
• Correlation analysis (positive and negative correlation, multicollinearity)

Learn to analyze data through visualizations such as line and scatter plots, perform statistical analysis, and evaluate correlation using techniques such as positive and negative correlation. Gain insights into various aspects of the data to answer questions through data analysis.

Module 5 – Modelling(Machine Learning Models)

• Learn the theory and implementation of various machine-learning models
• Implement regression models such as linear regression, polynomial regression, and multiple linear regression
• Implement classification models such as KNN, SVM, logistic regression, decision tree, random forest, and Naive Bayes
• Optimize model parameters using Grid Search.

This module is designed to teach you the theoretical and practical aspects of various machine learning models. You will learn to implement popular regression models, such as linear and polynomial regression, as well as classification models like KNN, SVM, logistic regression, decision trees, and Naive Bayes.

Module 6 – Evaluation

• Model Evaluation with various parameters
• SE, MSE, MAE, RMSE, R2 score, etc.
• Confusion Matrix, Accuracy, Precession, Recall, Fl Score
• K-fold Cross Validation

In Module 6, you will learn about the evaluation of machine learning models. You will explore various parameters used for model evaluation such as SE, MSE, MAE, RMSE, R2 score, etc. Additionally, you will learn about the Confusion Matrix, Accuracy, Precision, Recall, and F1 Score. Finally, you will learn about K-fold Cross Validation, which is a method for assessing the performance of a machine-learning model.

Module 7 – Dash Boarding Storytelling, Model Deployment

• Introduction to Dash boarding
• Creating interactive dashboards and reports
• Designing web apps for machine learning models
• Deploying machine learning models on localhost.

This module teaches the students about creating a web app for their machine learning model and deploying it into a local environment to make it accessible to others. Students will learn about various web app deployment techniques and technologies to make their models accessible to others in a user-friendly way.

Skill Vertex’s Data Science course Takeaways:

• Knowledge of Python programming for data science and machine learning
• Proficiency in necessary modules and libraries
• Data preprocessing and feature engineering
• EDA and statistical analysis
• Building machine learning models
• Model evaluation and deployment
• Creating interactive dashboards and reports
• Internship opportunities are provided to further enhance learning
• ISO Certification 

To learn more about the Skillvertex Data Science upskilling program and to register, click here