Advance your career with this job-oriented Data Science Course in Hyderabad with Machine Learning & AI. Master problem-solving skills, work on real-world projects and build a competitive portfolio while learning from experts who help you crack the most rewarding jobs in the industry.
















• 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: Text pre‐processing, Regular Expression,
tokenisation, Stemming, Minimum Edit distance
N-Gram Language Model: Intro. N‐Gram, N‐Gram probability estimation and perplexity, Smoothing technique (Laplace/good Turing/Kneser‐Ney /Interpolation
Text Representation: Bag‐of‐word : Tf/IDF,Count vector,
Latent semantic Analysis, Word embedding, Word2Vec, Glove, fastText
Text classification and clustering: The text classification problem, Feature Selection, k‐nearest neighbors, Support vector Machine, Flat Clustering, K‐means algorithm, Hierarchical clustering
Text Parsing: Syntax Parsing, Grammar formalisms and treebanks, Parsing with Context Free Grammars, Features and Unification, Statistical parsing and probabi-
listic CFGs (PCFGs)
| 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 Data Analytics, Data Science, Machine Learning & AI | No globally recognized certifications |
| Highly skilled In-house trainers who have been industry experts for years | Faculty with not enough relevant experience |
| Overseas Mentors for international industry insights | No overseas mentorship |
| Training on Data Analysis (Python, MySQL, Tableau, PowerBI, etc.) Sci-kit Learn, Plotly, Machine Learning Algorithms, TensorFlow, Deep Learning, NLP & AI | 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 the completion of Data Science Course in Hyderabad with Machine Learning & AI | No post-course support after training |
| 300+hours of Intense Course Training | Not enough hours of training |
Students at Digifine’s Data Science & Artificial Intelligence Course in Hyderabad get a chance to learn from highly experienced trainers who use a practical approach to train them on key industry skills. They get to work on cutting-edge tools and technologies and apply their knowledge via timely tasks, regular assignments and immersive projects. As a student of Digifine’s Data Science Classes in Hyderabad with Machine Learning & AI, you also get to earn multiple professional certifications along with a 3-months internship letter and 100% placement guarantee!











Digifine is the perfect place to learn digital marketing. The trainers explain everything in a very simple, easy-to-follow way, with lots of real examples. Practical training sessions made concepts very clear. Our entire batch successfully received job placements, exactly as promised by the institute. I highly recommend it.
At Digifine, the trainers didn’t just teach us tools — they taught us how to think like smart marketers. Strategy, planning, audience targeting… everything made sense practically and clearly. I felt confident while giving job interviews because the institute covered what actually happens in the market. Got my placement exactly as promised.
I had zero background in marketing, but the trainers at Digifine made it so simple, engaging, and crystal clear to understand. The demo campaigns, ad creation, and analytics breakdowns were my favourite part. They built my confidence slowly and steadily. Placement calls started coming in right after the course, and I landed a great job.
Digifine gave me much more than digital marketing knowledge. The soft skills training and interview preparation sessions were so valuable. I entered interviews well-prepared, knowing how to answer confidently. The placement team stayed in touch constantly, guiding us until every student got placed. They genuinely care about their students.
Become a certified professional in a competitive industry with Digifine’s Data Science & Advanced Artificial Intelligence Course in Hyderabad. Earn ISO certifications for pertinent topics and skills like Data Analytics, Data Science, Machine Learning, AI, and many more. Not only this but, the Data Science Course in Hyderabad with Machine Learning & AI at Digifine also gives you access to a 3-months internship letter that helps you stand out in a competitive job market.





Digifine Academy’s School of Tech is a seven-year old prestigious institution that has been delivering end-to-end training as well as career support to students in the various technical domains. The Data Science Course in Hyderabad with Machine Learning & AI is one of Digifine’s most intensive year-long programs that focuses on several aspects of Data Analytics, Data Science, Machine Learning and AI that focuses on imparting the right knowledge and skills while also helping students advance in their careers. Get ISO certifications and 100% placement guarantee with the Data Science & Artificial Intelligence Course in Hyderabad!
Get access to the finest, most updated curriculum with Digifine’s Data Science & Advanced Artificial Intelligence Course in Hyderabad. It first goes through some basic and more digestible concepts before moving to more advanced and complex parts. This is by far the most comprehensive syllabus to any Data Science Classes in Hyderabad with Machine Learning & AI and you can find a breakdown of it below:
Digifine houses a panel of highly qualified experts who train students of the Data Science & Artificial Intelligence Course in Hyderabad in a holistic manner. Their years of experience in the IT and education industry allow students to gain invaluable insights and grow in their careers. Throughout your Data Science Classes in Hyderabad with Machine Learning & AI, you would also be attending sessions conducted by overseas trainers who bring their own expertise into the program material.
Digifine understands the importance of hands-on training for a technical domain in the IT field. This is why its Data Science & Advanced Artificial Intelligence Course in Hyderabad is guided by a 20% theoretical and 80% practical approach. Students apply their knowledge and learnings from every class on challenging assignments, live projects and interactive case studies that improve their problem-solving skills. Digifine’s Data Science Course in Hyderabad with Machine Learning & AI emphasizes industry exposure and mastery of cutting-edge tools and technologies.
To mark the successful completion of your Data Science & Artificial Intelligence Course in Hyderabad, Digifine Academy awards you several professional certifications for domains like Data Analytics, Data Science, Machine Learning, AI, etc. You become an ISO-certified professional with tons of credibility instantly added to your resume by the end of these Data Science Classes in Hyderabad with Machine Learning & AI.
Any Data Science & Advanced Artificial Intelligence Course in Hyderabad is incomplete if it does not provide you with adequate training and resources to begin your career at once! Digifine has designed the perfect Data Science Course in Hyderabad with Machine Learning & AI that provides end-to-end placement support to students through portfolio preparation, resume building, mock interviews and so on. Not only this, you also receive a 3-months internship letter as well 100% job guarantee at top companies with competitive packages.
Students often need support after the completion of their course and placement procedure. This could be in terms of job switching, upskilling, or other career grievances. Digifine always keeps its doors open to all students, even after they have graduated from their Data Science & Artificial Intelligence Course in Hyderabad. The team and trainers here are supportive and friendly throughout.
Kickstart your Data Science, Machine Learning, & Ai journey by registering for our career-focused program!
Master DS, ML & AI with the help of hands-on training and global exposure from top industry experts!
Participate in live projects, work on problems & real-world case studies, and learn from challenging assignments!
Become job-ready by getting the right knowledge, skills, and etiquette from our panel of expert interviewers!
Get equipped with the right knowledge, skillset & interview etiquette to ace interviews at prominent companies!
Digifine’s Data Science Course in Hyderabad with Machine Learning & AI is a 1-year program aimed at equipping students with technical skills spanning across domains like Data Analytics, Data Science, Machine Learning and AI. Students learn actionable skills and work on several projects to master industry-relevant tools throughout these Data Science Classes in Hyderabad with Machine Learning & AI. Get access to professional certifications, a 3-months internship letter and 100% placement guarantee by being a Digifine tech student.
Digifine Academy’s Data Science Course in Hyderabad with Machine Learning & AI consists of an up-to-date curriculum that spans across multiple domains with detailed modules:
Digifine Academy provides Data Science Classes in Hyderabad with Machine Learning & AI in the online as well as offline modes. Offline classroom training is conducted in branches like Hyderabad, Mumbai (Andheri) and Navi Mumbai (Vashi). Live online sessions are also available for students all across the globe.
On the successful completion of your Data Science & Artificial Intelligence Course in Hyderabad, you will be receiving multiple ISO certificates for Data Analytics, Data Science, Machine Learning, AI, etc. alongside a 3-months internship letter.
Not necessarily, Digifine’s Data Science Course in Hyderabad with Machine Learning & AI is not difficult as long as you possess interest and commitment with regards to learning the subjects. The trainers here go slow and ensure that every concept is clear before moving onto the next one. They guide the Data Science Classes in Hyderabad with Machine Learning & AI by emphasizing on tasks, assignments and projects.
Anyone with an interest in understanding how data works, how machine learning algorithms are built and how AI models can be worked with, can enroll for Digifine Academy’s Data Science & Artificial Intelligence Course in Hyderabad
Not at all! Digifine does not require students to possess any prior knowledge or degree for enrolling into their Data Science & Advanced Artificial Intelligence Course in Hyderabad. Whether you are a student, working professional, entrepreneur or just someone interested in learning relevant skills, this program is going to help you achieve your individual goals. Take your career to an advanced level with the Data Science Course in Hyderabad with Machine Learning & AI.
Yes, without a doubt! Data is a fundamental part of any field or industry right now – whether it is sales, marketing, finance, medicine, retail, etc. Digifine has a Data Science & Artificial Intelligence Course in Hyderabad that is perfectly designed to help you master the skills required to kickstart your career in this industry and unlock the abundant opportunities available in any technical domain of your choice. It can be the best career option for anyone wanting to pursue a full-time job, get into freelancing or entrepreneurship or simply upskill. Enroll for the best Data Science Classes in Hyderabad with Machine Learning & AI and find out what you can achieve within just a year!
There are tons of career options available for students after they have completed their Data Science Course in Hyderabad with Machine Learning & AI at Digifine. They can pursue Data Analytics, become a Data Scientist, Data Engineer, ML Engineer, AI Researcher or get into other such roles! Depending on the role, company, interview performance and skillset, students get land packages between 2.5 to 5.5 LPA on the completion of their Data Science & Advanced Artificial Intelligence Course in Hyderabad.
It would ideally take around 1 year for a student to complete their Data Science Classes in Hyderabad with Machine Learning & AI at Digifine. You can also fasttrack the program to complete it sooner within 7 to 8 months by attending sessions daily.
If you’re looking for an affordable yet high-quality training program in the tech field, then Digifine’s Data Science & Artificial Intelligence Course in Hyderabad can be the perfect option for you. Its fees can be paid entirely together, in 2 in-house installments or through no-cost EMIs of up to 11 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