What is digital marketing?
Digital marketing is a marketing strategy which promotes several brands to customers via digital communications. Korsuliv offers a wide variety of digital marketing courses online and training programs to get your job easily.
Description
Korsuliv helps to sharpen your marketing strategies and plans using a high course standard and with trained academic faculty. We give you a clear idea and tricks to handle social media as your marketing platform.
Skills Earned
- Google Analytics
- PPC advertising
- Inbound marketing
- Targeted promotions with Microsoft Advertising
- SEO techniques for visibility
- Social media marketing proficiency
- Email marketing strategies
- Compelling digital content creation
Learn with us
Take a digital marketing course in Korsuliv and unleash the possibilities of digital marketing. We made a platform to chat with your peers and the whole batch. You can even communicate with our alumni. Collaborate on projects and learn skills with us and make new friends.
Certification & Course time
Upon completing courses and projects you will receive the advanced digital marketing certification. Qualification of these digital marketing courses would help you to clear various certification exams.
Google Analytics Individual Qualification (IQ) Certification
- Google AdWords Certification
- HubSpot Certification Exam
- Microsoft Certification Exam
1. Understanding Business Problems
1.1 Introduction to Business Problems and Hypotheses Formulation in the following domains:
2. Marketing Principles
2.1 segmentation, Targeting, and Positioning
- Understanding Consumer Behavior
- Influences on Consumer Behavior
- Product Mix Decision
- Branding Decisions
3. Marketing Mix Decisions
3.1 Designing Service Offering
- Understanding Pricing Strategies
- Channel Design Decisions
- Channel Management Decisions
- Developing Advertising Campaigns
- Developing Sales Promotions
- Sponsorship Campaigns
- Managing Public Relations
4. Branding Marketing and PR Communications
- Brand Positioning
- Engagement Strategy
- PR Activities
5. Marketing Analytics
- Data Science in Marketing
- Statistics for Data Science
- Introduction to Supervised and Unsupervised Learning
- Linear and Logistic Regression
- Applications of Analytics – Market Basket Analysis, Customer Segmentation, and Customer Lifetime Value
6. Social Media Optimization (SMO)
- What is Social Media Optimization?
- Why Social Media Marketing?
- Different Social Media Platforms – Quora, Facebook, Twitter, Instagram, LinkedIn, Pinterest, etc.
- Content or products can be promoted on these sites
- Managing and Driving Engagement
- Guidelines and Best Practices
- Social Media Platforms – Case studies
7. Video Marketing
- Why Video Marketing?
- How Do I Get My Videos to the Top of YouTube?
- Different Video Platforms – YouTube, etc.
- Video Marketing for B2C Businesses
- Video Marketing for B2B Businesses
- Live Streaming and Video Uploads
- Generating Leads from Videos
- Optimizing Videos for Ranking
8. Paid Marketing
8.1 Google Ads
- An Overview of Paid Marketing Platforms (Including Google Ads, Facebook Ads, and Instagram Ads)
- Keyword Research for Google Ads, Bidding, Search, and Search Network Campaigns
- Google Display Campaigns
- Conversion Tracking
- Remarketing
- Mobile Ad Campaigns
- A/B Testing
- Scheduling Ads
- Media Planning
- Reporting and Management
- Google Ads Account Audit
- What is Programmatic Buying?
- Programmatic vs Traditional Media Buying
- Targeting Strategies in Programmatic Buying
8.2 Facebook and Instagram Ads
- Understanding Facebook Marketing
- Facebook Ads Manager
- Business Manager
- Facebook Ad Campaign Types and Objectives
- Audience Targeting
- Ad Formats
- Budgeting and Scheduling
- How to Implement Facebook Pixel on a Website?
- Reach and Frequency of Buying
8.3 LinkedIn Ads
- Introduction to LinkedIn Advertising
- Different Types of Campaigns
- How to Find the Right Audience?
- Account-based Marketing
9. Email Marketing
- What is Email Marketing?
- Its Objectives
- Tips and Tricks
- Domain Reputation and SPF
- Different Email Providers – Mailchimp, etc.
- HTML and In-App Editors for Creating Ad Campaigns
- A/B Testing
- Source Tracking, List Management, etc.
10. Landing Pages
- Technical Understanding of Pages
- Conversion Optimizations
- Understanding User Behavior and Responding Appropriately
- Lead Capturing on Pages
- A/B Testing of Pages
11. Affiliate Marketing
- What is Affiliate Marketing?
- Its Benefits
- Different Platforms
- Affiliate Tracking on a Website
- How to Handle Affiliates?
- Handling Fraudulent Transactions
- Tips and Tricks
12. Content Marketing and Influencer Marketing
- What is Content Marketing?
- Its Objectives
- Different Types of Content Marketing
- Writing Blogs and Content and Promoting It on Different Platforms
- Creating Engaging Videos and Promoting Them
- What is Influencer Marketing?
- How to Get in Touch with Influencers and Get Them Involved?
13. Digital Marketing Analytics, Strategy and ROI Measurement
- Analyzing Google Analytics and Site Traffic Matrixes
- Understanding Visitor Behavior using Multiple Metrics
- Slicing and Dicing Data
- Understanding Growth Patterns
- How to Use Traffic Pattern Data in Your Marketing Strategy?
- Channel Performance, Setting Goals and Creating Reports and Dashboards
- Measuring ROI as an Integrated Approach and Strategy Creation
Our data analytics course is suitable for individuals who want to gain skills in analyzing and interpreting data to drive data-driven decision-making. It is ideal for beginners and professionals from various backgrounds, including business, finance, marketing, and IT.
Yes, prior knowledge or experience in data analytics is required. This course is designed to cater to both beginners and those with some familiarity with data analytics concepts.
The course covers various software and tools commonly used in data analytics, such as Python, R, SQL, and popular data analytics libraries and frameworks. Additionally, we will introduce you to data visualization tools like Tableau and Power BI.
No, our data analytics course is entirely online. You can access the course materials and lectures at your convenience and learn at your own pace.
Yes, upon successfully completing the course, you will receive a certificate of completion, which validates your skills and knowledge in data analytics.
There are no strict prerequisites for enrolling in the course. However, having a basic understanding of mathematics and statistics would be beneficial.
The duration of the course is flexible, as it is self-paced. On average, it takes around X weeks to complete, depending on your learning speed and commitment.
Yes, you will have access to our support team and instructors who can assist you with any course-related queries or difficulties you may encounter.
Yes, you will have the opportunity to interact with other learners through our online platform. You can engage in discussions, collaborate on projects, and share insights and experiences.
Data analytics skills are highly sought after in various industries. This course will equip you with the skills and knowledge needed to analyze data, derive insights, and make data-driven decisions, opening up opportunities for career advancement and growth.