Unlock your potential with a Data Analytics Course in Hyderabad with internships & 100% placement guarantee. Get equipped with data-driven technical skills by working on challenging projects and build an impressive portfolio to take your career to the next level!
















• Introduction: What is Excel, Why Excel & Get Started
• Basic: Range, Move, Add, Delete Cells & Undo
• Basic Formulas: Sum, Average, Count, Count If, Sum If & Average If
• Advance Formulas: Vlookup, Sum Ifs, Count Ifs, If, Concatenate & Index Match
• Operators: Arithmetic, Comparison, Logical & Reference
• Formatting: Excel Formatting, Sort & Filter
• Tables: Pivot Table, import & export
• Conditional: If, AND, OR, NOT
• Rules: Highlight Cell Rules
• Bars & Charts: Data Bars, Colour Scales, Icon Sets, Pie Charts & Histograms
• Charts Customization
• Introduction to Python
• Installation & Downloads
• Basic : Syntax, Comments, Indentation, Editors
• Variables : Variables, Types of Variables, Various Variable, Scope
• Operators: Arithmetic, Assignment, Logical & Comparison
• Casting : to String, to Integer and to Float
• Conditions: IF, Elif, Else IF and Nested IF
• Loops: While Loop & For Loop
• Functions: Intro, What is, Types of, user inputs
• Modules: types of,
• Pre-Defined: Dates, Math
• PIP: Package Manager, Installation, Use
• Python Oops: Classes/Objects, Inheritance, Iterators, Polymorphism
• Introduction to MYSQL (Database)
• Creation : Database, Tables and Primary Key
• CRUD: Creating, Reading, Updating, and Deleting Documents
• Condition : Where, Order By and Limit
• Remove: Delete and Drop Table
• Join : Inner, Right and Left
• Alternatives: Sum, Sumup and more
• Aggregate Functions: min, max, count, average, sum, etc
• Introduction of Numpy
• Installation & Import of Numpy
• Arrays: Creating Arrays, Access Array Elements, Array Slicing
• Dimensions in Arrays: 0D, 1D, 2D, 3D
• Data Type: String, Integer, Float, Boolean & Complex
• Shape: Array Shape & Array Reshape
• Array Display: Array Copy & Array View
• Iterating: Array Iterating, Joining & Splitting Array
• Filter: Array Sorting, Searching & Filtering Arra
• Introduction to Pandas
• Installation & Import Pandas
• Pandas Series: Labels & Creating Labels
• Data Frames: Intro & Locate Row
• JSON: Intro & Dictionary as JSON
• Analyse: Analysing Data Frame
• Data: Cleaning Data, Cleaning Empty Cells, Cleaning Data of Wrong Format
• Introduction to Matplotlib
• Installation & Importing Matplotlib
• Pyplot & Plotting: Plotting x and y axis, Plotting without line, Multiple Points
• Markers: Reference, Line Reference
• Line: Line style, Line Colour, Line width, Multiple Line
• Labels: Title, Set Font, Position the Title
• Grid: Add Grid Line, Specify Grid Line, Set Line Properties
• Subplot
• Display: Scatter, Bars, Histograms & Pie Charts
• Introduction to SeaBorn
• Installation & Import SeaBorn
• Environment Setup
• Import: Datasets & Libraries
• Palette: Colour Palette
• Display: Histogram, Visualizing Pairwise Relationship
• Distribution: Plotting Categorical, Observation, Violin Plots
• Facet Grid, Data Subsets & Pair Grid
• Introduction of Statistics
• Data: Gathering, Describing Data, Parameters & Statistics
• Mean & Mode: Arithmetic Mean, Arithmetic Median, Arithmetic Mode & Arithmetic Range
• Display: Bar Graph, Histograms, Pie Charts
• Data Types: Measurement Levels, Variation Rang
• Introduction, Download & Installation
• Charts: Column Charts, Stacked Column Chart, Pie Chart, Donut Chart, Funnel Chart, Ribbon Chart
• Content: Include & Exclude
• Data: View Data & Export
• Map: with Power BI, with Pie Chart & with Formatting in Map
• Table: Creating Table, Applying Conditional, Aggregation in Table
• Matrix: Matrix’s & Hierarchies in Matrix
• Introduction & Installation
• Connections & Data Types
• UI, Dimensions and Measures
• Visualizations: Intro & Applying Visualization
• Functions: Intro & Sort Functions
• Casting: Fore Casting
• Perception: Visual Perception, Server, Online
• Data Source: Connecting Data Source, Different Charts in Tableau
| DIGIFINE | OTHER INSTITUTES |
| 100% Placement Guarantee at top companies | No placement guarantee |
| 3-month Internship Letter during the course | No internship letter during the course |
| ISO certifications that are globally recognized for Power BI, Tableau & Data Analytics | No globally recognized certifications |
| Industry Expert, Highly Skilled In-house Trainers | Faculty with not enough relevant experience |
| Overseas Mentors for international industry insights | No overseas mentorship |
| Training on the programming language Python with libraries like NumPy, Pandas, Matplotlib, etc., along with an upgraded syllabus (with tools like MySQL, Tableau, PowerBI, Advanced Excel, Google Sheets, etc.) | No unique, relevant, and upgraded syllabus with multiple tools, programming languages, and databases |
| Practical Training with Live Projects, Case Studies, and Regular Assignments | Not enough assessments or hands-on training |
| Post-Course Support for each student, even after completion of Data Analytics Course in Hyderabad | No post-course support after training |
| 360 hours of Intense Course Training | Not enough hours of training |
Students at Digifine’s Data Analytics Course in Hyderabad are the first ones to get access to all new and upcoming technologies in the data-driven IT landscape. Here, they get to learn from industry experts who bring their expertise into the classroom and make sessions extremely informative as well as interactive. As a Digifine Data Analyst Course in Hyderabad student, you will be receiving global exposure while working on industry-relevant tools and earning certifications for them. Get a 3-months internship letter and 100% placement guarantee by enrolling now!











Are you still wondering what your future would really look like after completing Digifine’s data analytics course in Hyderabad? Hear about the data analyst training and placement from our students and find out for yourself!
I joined Digifine’s Data Analytics course with no prior experience, and it turned out to be the best decision. Trainers explained every concept with real datasets, making analysis easy to grasp. Tools like Excel, SQL, and Power BI were taught in depth. I got placed quickly with full support throughout.
Digifine’s Data Analytics course is well-structured. We worked on dashboards, explored industry use cases, and mastered Excel, SQL, and Power BI. The mentors were patient and professional. Their placement team was proactive, and I got multiple interview calls. I now work with a top analytics firm—dream fulfilled!
The Data Analytics course at Digifine focused equally on tools and logic. SQL queries, data cleaning, and dashboard creation were taught with hands-on exercises. They even conducted resume-building and mock interviews. Thanks to the amazing support and training here, I landed a data analyst role after the course.
Digifine offered everything I was looking for in a Data Analytics course: expert mentors, practical sessions, and strong placement support. I had no background in analytics, yet I never felt lost. The journey from beginner to confident analyst felt smooth. I’m now placed and loving the work.
Stand out in the IT industry by enrolling for Digifine’s Data Analyst Course in Hyderabad. Wondering how? Digifine provides students with ISO certifications for every major course module that helps them become a certified professional by the time they have successfully completed their Data Analytics Classes in Hyderabad. Further, the 3-months internship letter they receive here not only helps them flaunt their diverse skillset, but also advance in their careers with incredible ease!















Learn by practically applying your knowledge and honing your skills through these live projects included with your data analytics course in Mumbai!
Digifine Academy has a seven-year old School of Tech that has been providing premium and affordable education to students since the past seven years. They have been successfully running their Data Analytics Classes in Hyderabad, Mumbai, Navi Mumbai as well as online in other parts of the world. Digifine is the perfect choice for anyone looking to upskill or build a career in the IT industry. It offers practical training imparted by industry experts who also focus on providing students with tons of exposure and hands-on experience through projects. Enroll for Digifine’s Data Analyst Course in Hyderabad to get your hands on professional certifications, a 3-months internship letter and 100% placement guarantee.
Good teachers can truly take your learning journey to the next level. Digifine houses a panel of experts with several years of experience working in both education and IT industry. They guide the Data Analytics Classes in Hyderabad by focusing on each student’s unique learning style, needs and requirements. They believe in bringing their insights into the classroom so that you can learn from their experiences as well, and be encouraged in the right direction. They are extremely friendly and supportive throughout the Data Analyst Course in Hyderabad.
Digifine strongly believes in learning by doing. The Data Analytics Course in Hyderabad is therefore guided by only a 20% theoretical and 80% practical approach. This entails emphasis on regular tasks, interactive assignments and immersive projects. Apart from helping students hone their problem-solving skills, this hands-on style of training pushes them to learn from their mistakes and collaborate with their peers. The Data Analyst Course in Hyderabad aims at making students holistically capable of competing in the industry and acing their respective career paths.
Get recognized as an ISO-certified analyst with Digifine’s Data Analytics Course in Hyderabad now! Digifine offers multiple professional certifications to its students on various pertinent course modules. These add tremendous value to your resume and profile and help you stand out as a seasoned professional in the industry.
Digifine is the only institute all over Asia providing a Data Analytics Course in Hyderabad with job guarantee. Here, students get end-to-end placement support through portfolio preparation, resume building, masterclasses on interview etiquette and mock interviews. Not only this, but you also receive a 3-months internship on the successful completion of all your projects by the end of these Data Analytics Classes in Hyderabad. Get placed in top companies with competitive packages in just 6 months!
Digifine prides itself in being one of the only institutes all across Asia to provide post-course support to each of its students. This essentially means that students are free to approach Digifine’s team and trainers for any queries or support even after the completion of their Data Analyst Course in Hyderabad. Students find a warm and friendly atmosphere that always encourages them to put their best foot forward. Even if you have graduated from the Data Analytics Classes in Hyderabad, the doors to Digifine will always be open for you!
Kickstart your Data Analytics journey by registering for our career-focused program!
Learn Data Analytics from highly experienced trainers through practical training and industry exposure!
Master tools by solving real-world case studies, working on challenging assignments and collaborating on live projects!
Become job-ready by getting the right knowledge, skills and etiquette from our panel of expert interviewers!
Secure your career with 100% guaranteed placement at top Data Analytics companies in India and abroad!
Digifine’s Data Analyst Course in Hyderabad is a 6-months in-depth technical program that trains students on basic to advanced modules using a primarily practical approach. This is the perfect choice for someone looking to upskill or even build a career in the IT industry. Learn industry-relevant tools and work on challenging projects while earning ISO certifications as well as a 3-months internship letter at these Data Analytics Classes in Hyderabad. Get placed at top companies with 100% job guarantee.
The Data Analyst Course in Hyderabad has a diverse curriculum that covers subjects and tools like Excel, Google Sheets, Tableau, Power BI, Python programming, MySQL, etc
Digifine Academy has both online and offline programs. Its offline sessions are conducted via the Data Analytics Classes in Hyderabad, Mumbai (Andheri) and Navi Mumbai (Vashi). Live online sessions are accessed by students all over the world.
On completing the Data Analyst Course in Hyderabad from Digifine Academy, you will be receiving several ISO certifications for the modules that are covered, as well as a 3-months internship letter.
Not at all. The factor that determines the difficulty level of any program is the willingness to learn and the kind of training students receive. Digifine’s Data Analyst Course in Hyderabad is guided by highly experienced trainers who take you step by step through every part of the learning process. You would be able to practise and apply your acquired knowledge and skills through regular tasks, assignments and projects throughout the Data Analytics Classes in Hyderabad.
Anyone with an interest or willingness to master technical data-related skills right from scratch can opt for Digifine Academy’s Data Analyst Course in Hyderabad.
No, there is no mandatory prerequisite to applying for Digifine’s Data Analytics Course in Hyderabad. Whether you are a student, working professional, freelancer, entrepreneur or simply someone who wishes to acquire data analytics skills, this program will cater to your specific needs. All you need is a keen desire to learn and Digifine’s Data Analyst Course in Hyderabad will deliver by training you right from the basics and take you through advanced and complex topics.
Data Analytics has been an important and promising discipline with respect to any and every industry including Marketing, Sales, Tech, Education, Finance, Healthcare, Retail, Banking, Manufacturing, and many more. Digifine’s Data Analyst Course in Hyderabad is an upskilling as well as career-oriented program that prioritizes practical training so that you can acquire the right skillset to advance in your respective careers. Sign up for Digifine’s Data Analytics Classes in Hyderabad to access 100% placement guarantee and post-course support!
On the completion of Digifine’s Data Analyst Course in Hyderabad, you would be getting a 3-months internship letter that will help you land promising career opportunities. Digifine provides end-to-end placement support to students through portfolio preparation, resume building, mock interviews, etc. You can usually expect packages between 2.5 to 5.5 LPA after their Data Analytics Classes in Hyderabad.
Digifine’s Data Analyst Course in Hyderabad takes the duration of roughly 6 to 7 months for completion. You also have the option of fast tracking your training by attending daily classes and completing the program within 4 months.
Digifine Academy’s Data Analytics Course in Hyderabad is a technical, skill-based and career-oriented program that comes with extremely affordable fees, which can be paid either entirely together, in 2 in-house installments or in the form of no-cost EMIs of up to 6 months.
Section 1: Introduction to UI/UX
1.1 Define UI/UX:
Explanation of UI (User Interface) and UX (User Experience) | Importance of a user-centric approach in design
1.2 Importance of Design:
How effective design enhances user perception and interaction | Case studies demonstrating successful design impact
Section 2: Understanding the Audience
2.1 User Personas:
Creating and understanding user personas | Influence of personas on design decisions
2.2 User Journey:
Introduction to user journey mapping | Understanding user expectations during website navigation
Section 3: WordPress UI/UX Environment
3.1 Explore the WordPress Dashboard:
Guided tour of WordPress dashboard | Purpose of various sections (editor, customizer)
3.2 Theme Selection:
Choosing a theme aligned with brand and goals | Highlighting themes with good UI/UX practices
Section 4: Wireframing and Prototyping
4.1 Introduction to Wireframing:
Importance of wireframing in design | Hands-on using tools like Balsamiq or Sketch
4.2 Prototyping:
Introducing prototyping tools for interactive designs | Role of prototypes in testing and refining user experience
Section 5: Typography and Color Theory
5.1 Typography Basics:
Choosing readable fonts | Typography’s contribution to overall design
5.2 Color Theory:
Teaching color theory principles | Guiding students in choosing a color scheme
Section 6: Layout and Composition
6.1 Grid Systems:
Introduction to grid systems for layout | Maintaining consistency and alignment
6.2 Visual Hierarchy:
Techniques for establishing visual hierarchy | Guiding users through content
Section 7: Interactive Elements
7.1 Buttons and Call-to-Actions:
Design principles for buttons and CTAs | Role of interactive elements in guiding user actions
7.2 Forms and User Input:
Best practices for designing user-friendly forms | Importance of feedback during form submission
Section 8: Responsive Design
8.1 Mobile-First Design:
Designing for mobile devices first | Using media queries for responsive design
8.2 Testing on Various Devices:
Demonstrating how to test designs on different devices | Utilizing browser developer tools for testing
Section 9: WordPress Customization
9.1 Customizer and Theme Options:
Using WordPress Customizer for live preview | Theme options for further customization
9.2 Widget Areas:
Explaining widget areas for adding dynamic content | Encouraging experimentation with widgets
Section 10: User Testing
10.1 Usability Testing:
Introducing usability testing concepts | Gathering feedback from potential users
10.2 Iterative Design:
Emphasizing iterative design based on user feedback | Implementing improvements in design
Section 11: WordPress Plugins for UX
11.1 SEO Plugins:
Importance of SEO and recommended plugins | Impact of SEO on user experience
11.2 Performance Optimization Plugins:
Introduction to Performance Optimization Plugins | Discussion on page speed and user satisfaction
Section 12: Portfolio Showcase
12.1 Project Showcase:
Assigning a project for designing the various brand brochures & websites | Encouraging students to showcase their work in a portfolio format
Section 13: Feedback and Critique
13.1 Group Critiques:
Conducting regular group critiques to discuss design choices | Encouraging constructive feedback and learning from peers
Section 14: Stay Updated
14.1 Industry Trends:
Discussing current UI/UX design trends | Encouraging exploration of design communities and resources
Section 15: Resources and Further Learning
15.1 Introduction to Design Tools:
Overview of design tools like Adobe XD, Figma (emphasizing Figma in
this course) | Hands-on exercises to familiarize students with Figma
Section 1: Introduction
Introduction to Figma Essentials training course | Getting started with Figma training | What is Figma for & does it do the coding? | What’s the difference between Ul and UX in Figma | What we are making in this Figma course | Class project 01- Create your own brief
Section 2: Wireframing – Low Fidelity
What is Lo Fi Wireframe vs High Fidelity | Creating our design file & introducing frames
Section 3: Type, Color & Icon Introduction
The basics of type & fonts | Rectangles Circles Buttons Rounded corners | How to use color | Strokes plus updating color defaults | Object editing and how to escape | Scale vs Selection Tool | Frames vs Groups | Class project 02- Wireframe | Where to get Free icons for Figma | Matching the stroke of our icons | How to use Plugins in Figma for icons | Class project 03 – Icons
Section 4: Pages
How to use Pages
Section 5: Prototyping – Level 1
How to prototype | Prototype animation and easing | Testing on your phone with Figma Mirror | Class project 04 – Testing on your phone
Section 6: Animation Level 1
What is Smart Animation & delays | Class project 05 – My first animation
Section 7: Commenting
Sharing & Commenting on Figma file with Stakeholders | Share editing with other UX designers in Figma
Section 8: Moodboard – High Fidelity
How I get inspiration for UX projects | How to create a mood board | Class Project 06 – Moodboard
Section 9: Columns
How to work with Columns & Grid
Section 10: Colors
Color Inspiration & the eyedropper | How to create a color palette | How to make gradients | How to create & use Color Styles | Class Project 07 – Colors & Columns
Section 11: Text & Fonts Advanced
Font on Desktop vs Browser Figma | What fonts can I use plus font pairing in Figma | What common font sizes should I choose in web design | How to make Character Styles | Lorem ipsum & Placeholder text | Useful things to know about text | How fix missing fonts | Class project 08 – Text
Section 12: Drawing
Drawing tips and tricks | Squircle buttons with ios rounded courses | Boolean Union Subtract Intersect Exclude Pathfinder | What is the difference Union vs Flatten Figma | Class Project 09 – Making stuff | Smart Selection & Tidy up
Section 13: Working with Illustrator
Do you need to know Illustrator with Figma
Section 14: Images
Tips & tricks for using images | Masking Cropping images | Free image & plugin
Section 15: Working with Photoshop
Do you need Photoshop for UX Design in Figma? | Class Project 10 – Images
Section 16: Autolayouts & Constraints
Autolayout & Constraints | Class project 11 – Buttons | Auto Layout for spacing | How to use constraints | Combining Nested frames Auto Layout & Constraints | Adding Text Box Autoheight to Autolayout | Class Project 12 – Responsive Design | Nice drop shadow & Inner drop shadow effects
Section 17: Effects
Blur Layer & Background Blur & Image Blur | How to make Neumorphic ui buttons | Class project 13 – Effects
Section 18: Saving & History
How to save locally & save history
Section 19: Components & Instances
What are components | Updating & Changing & Resetting your components | You can’t kill main components | Where should you keep your main components | Intro to the forward slash / naming convention | Class Project 14 – Components
Section 20: Variants
How to make component variants | Another way to make variants | How to make a Multi Dimensional Variant | Class Project 15 – Variants
Section 21: Making a form
How to make a form using variants | Class Project 16 – Form | Putting it all together in an desktop example
Section 22: Prototyping – Level 2
How to add a popup overlay modal | How to make & prototype a tool tip | What are Flows | Slide in mobile nav menu overlay | Class project 17 – Prototyping | How to pin navigation to top | How to make horizontal scrolling swipe | Automatic scroll down the page to anchor point
Section 23: Animation & Micro Interactions
The difference between animation & micro interactions | Animation with custom easing | Class Project 18 – My Second Animation Make animated transitions | Class Project 19 – Page transition | Micro interactions using interactive components | Micro interaction toggle switch | Micro Interaction burger menu turned into cross | Class Project 20 – Micro interaction
Section 24: How to share you document
Talking to your developer early in the figma design process | Sharing Figma with developers & engineers handoff
Section 1: Introduction
Create a Black and White Image | Quickly improve images with Camera Raw | Speed up Photoshop | Discover Panel – Find hotkeys and panels fast!
Section 2: Get Started
Use Photoshop’s interface efficiently | Customize your workspace | Create a new project | Open images in Photoshop | Save your Photoshop work | Export your work in Photoshop | Get around Photo- shop fast-zoom-pan | Use the History Panel to fix your mistakes | How to use Undo in Photoshop | Resize an image | Crop and straighten photos | The proper- ties panel
Section 3: Layers Part 1
What Are Layers | Start Using Layers | Use the Layers Panel | Move Layers | Arrange Images Quickly | Layer Opacity vs. Fill
Section 4: Layers Part 2
Layer Types Explained | Customize the Layers Panel | Identify Layers | Filter Layers | Manipulate Layers – Free trans- form | Use of Blending Modes | Lock Layers
Section 5: Selections Part 1
Selections explained | Rectangular Marquee | Elliptical Marquee | Layer masks | Combine 2 images with layer masks | Quick Selection Tool and Magic Wand | Make an orange purple | Change the color of a t-shirt
Section 6: Selections Part 2
Lasso Tools | Pen Tool Overview | Direct & Path Selection Tools | Quick Mask Mode | Color range – Select a Color in a Photo | Remove Background | Save and Load Selections | Select and mask hair
Section 7: Raster Layers
Use the Brush Tool | Soften Skin Imperfections | Use the Eye Dropper & Swatches | Resolution vs Image Size | Color Replacement tool – Replace Color
Section 8: Shape Layers
Create Shapes | Modify Shapes | Use Custom Shapes | Design Shapes | Generate Guides from Shapes | Place Images in Shapes Clipping Mask vs Layer Mask vs Vector Mask
Section 9: Artboards
Introduction | Find out how artboards can help you | The hidden value of artboards | Creating and resizing artboards | Duplicate artboards and using guides | Export- ing artboards
Section 10: Creative Layer Styles (Effects)
Introduction | Download and Scale Layer Styles | Create Gold Text Effect | Embed Text in Photos-displace | Use Global Light | Neon Effect
Section 11: Work with Smart Objects
Smart Objects Explained | Linked Smart Objects | Create a realistic mockup | Filters with Smart Objects
Section 12: Repair Your Photos
Remove Skin Issues (Spot Healing Brush, Healing Brush) | Remove Watch and Necklace (Clone Stamp Tool) | Clean Up Face Imperfections (Frequency Retouch- ing) | Remove anything from photo (Con- tent Aware Fill) | Move People in Photos (Content Aware Tool) | Dodge, Burn, Sponge tools | Remove Red Eyes from Photos | Patch Tool
Section 13: Actions
Create an action | Resize lots of images
Section 14: Text Layers
Text layers explained | Font types | Get New Fonts | Learn Typography Best Practices | Combine Fonts | Identify a Font | Stay consistent in your projects – styles
Section 15: Adjustment Layers
Solid-Gradient-Pattern | Enhance faded photos | Change object color-Hue-Saturation | Change Environment – Color Balance | Black n White, Color mixer, Photo filter | Lookup Tables-LUTs
Section 17: Camera Raw – Edit Your Photos
Camera Raw – introduction | Raw image format vs JPEG | My workflow in Camera Raw | The two keys to camera raw edits | One-click wonders in Camera Raw | Graduated filter and the before/after shot
Section 18: Cloud Documents
What are cloud documents? | Saving to the cloud vs locally (on your computer) | Version history | The biggest drawback with cloud documents
Section 19: Effects
Reshape faces | Create a lens flare | Blur & Blur Gallery
Section 1: Introduction
What is Graphic Design? Introduction to Adobe Illustrator | Vector Graphics vs Raster Graphics
Section 2: Basics
Interface Overlook | Create and Save New Document | Customize your workspace | Navigation – Zoom Tool & Pan Tool
Section 3: Working with Objects
Selection Tool | Transformations | Group, Ungroup | Copy, Paste, Paste in Place | Basic Shapes | Shape builder tool | Path- finder | Aligning and Distributing Objects
Section 4: Drawing
Direct Selection Tool | Pen Tool | Anchor point Tool | Pen Tool alternatives | Curvature Tool | Symmetrical drawing | Concentric drawing techniques
Section 5: Appearance of Objects
Stroke settings, width tool | Swatches | Gradients | Layer Panel | Appearance panel | Effects | 3d
Section 6: Brushes
Calligraphic Brushes | Scatter Brushes | Art Brushes | Bristle Brushes | Pattern Brushes | Image Brushes | Strokes on image
Section 7: Images
Working with Images | Preparing simple images for tracing | Preparing complex images for tracing | Image Trace
Section 8: Type
Types of Typefaces | Character formatting | Paragraph formatting | Using Text styles
Fonts | Variable and SVG Fonts | Touch Type | Type on a Path | Type and Shapes | Warp Text | Create Outlines from Text | Image within Text | Text Wrap
Section 9: Advanced Techniques
Introduction to Masking | Clipping Mask | Opacity Mask | Recolor Artwork | Puppet Warp tool | Symbols | Symbol Tools | Dis- tort and Transform tools | Graphs | Blend- ing Objects | Creating Patterns | Refining Pattern Design | Gradient Mesh | Freeform Gradients | Perspective-Intro | Perspective Drawing | Transform Tools (scale and shear tool) | Transform each effect
Section 10: Artboards & Export
Artboards | Saving work for Print | Saving work for Web | Export for Screens