Data Science Course In Kerala
Today’s world is data driven and data is the key to decision making for all businesses. With the explosion of data there is a growing need for people who can make sense of it – analyse, interpret and turn numbers into meaningful insights. This is a huge opportunity for data scientists, the problem solvers who use their skills to tackle complex challenges and drive innovation. If you love finding patterns in data, solving tough problems and helping organisations make better decisions, there’s never been a better time to get into data science. By joining a comprehensive data science program from a reputable institution you can take a big step towards financial security and set yourself up for a rewarding career.
With skills in powerful programming languages, modern data science tools and advanced machine learning techniques you’ll be in demand across industries. Your ability to turn raw data into actionable insights will make you a key player in driving business growth and innovation.
This data science course will help you become a confident, skilled data scientist. It will sharpen your technical skills, improve your analytical thinking and refine your problem solving skills. Whether you’re just starting out or a seasoned professional looking to level up, this course is your entry point to the data driven world. You’ll get hands-on experience in predictive modeling and building intelligent systems, so you can stand out in the fast paced, ever changing world of data science. It’s more than just a course – it’s your launchpad to an exciting and impactful career.
Top Skills You Will Learn
- Python: The most popular language in data science, known for its simplicity and extensive libraries like Pandas, NumPy, and Scikit-learn.
- Pandas (Python)
- Matplotlib, Seaborn
- Machine Learning- Supervised Learning: Regression, Classification,Model evaluation techniques,ensemble learnings,Unsupervised Learning: Clustering. Tools: Scikit-learn
- Deep learning -ANN,CNN,RNN,Open CV,transfer learnings -VGG16,Alexnet. Tools:TensorFlow, Keras.
- Natural Language Processing (NLP)-Working with text data, sentiment analysis,pipeline transformations. Tools: NLTK
Job Opportunities
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- Data Engineer
- Data Analyst
- AI Specialist
Who can Learn
- Freshers with basic programming language
- Working professionals who looking to upskill
- Entrepreneurs and Business owners
- Individuals looking to transition into a new field or industry.
Why Futura Labs
Data science is one of the best ways to convert raw, unstructured data into actionable insights that drive business growth. Professionals across industries can use data science to uncover trends, find patterns and make data driven decisions. But effective data science goes beyond basic analysis – it needs a solid foundation in statistics, programming, data visualization and ability to align data insights with business objectives.
Our Data Science Course is designed to equip you with the necessary skills to succeed in this field. You will learn to work with real world datasets using industry standard tools like Python, SQL and Excel. From data cleaning and analysis to building predictive models, this course covers it all. You will also dive into advanced topics like machine learning, artificial intelligence and statistical modeling. You will also learn to create beautiful data visualizations and interactive dashboards using Tableau and Power BI.
At Futura Labs in Kochi and Calicut, our trainers create an engaging and supportive learning environment, providing you with the tools and knowledge to succeed in the fast paced world of data science. Through hands-on projects, real world case studies and personalized guidance you will gain the confidence and practical experience to excel in this competitive field. Whether you are a beginner or upskill, this course will prepare you for a rewarding career in data science and help you to help businesses achieve their goals through data driven innovation.
DIPLOMA IN DATA SCIENCE WITH GENAI - 5 MONTHS
- Git
- GitHub
- Introduction to Statistical Analysis
- Descriptive statistics
- Inferential statistics
- Mean, Median, Mode
- Standard deviation, Variance, Range
- Outliers
- Quartile range
- Interquartile range
- Probability
- Estimation and Hypothesis
- Testing
- Scatter Diagram
- Missing values
- Imputation Techniques
- Covariance
- Correlation and Regression
- Random variable
- Normal distribution
- Skewness
- Kurtosis
- Central limit theorem
- Anova
3.1: NumPy
- Introduction to numpy
- Numpy arrays
- Operations on arrays
- Indexing & slicing
- Numpy functions
3.2: Pandas
- Introduction to pandas
- Data manipulation
- Series
- Data frames
- Importing and exporting files
- Basic functions
- Date range
- Group by
- Merging
- Concatenation
- Pivot table
- Contingency table
3.3: Matplotlib
- Introduction to Matplotlib
- Different Types of Charts
- Bar chart
- Line Chart
- Scatter Chart
- Pie Chart
- Stack plot
3.4: Seaborn
- Introduction to Seaborn
- Seaborn to Data Visualization Basics
- Univariate Data Visualization
- Bivariate & Multivariate Data Visualization
- Categorical Data Visualization
- Advanced Customization
- Working with Seaborn's Built-in Datasets
- Integrating Seaborn with Matplotlib
- Seaborn Real - World Applications
- Data Wrangling and Manipulation
- Descriptive statistics
- Identifying Patterns and Outliers
- Missing value and Outliers
- Imputation techniques
- Transformation techniques
- Standardization
- Normalization
- Introduction to Artificial Intelligence and Machine learning
- Regression and classification
5.1: Supervised Learning
- Linear Regression
- Logistic Regression
- Naive Bayes
- Decision Trees
- Random Forest
- Support Vector Machines
- K-Nearest Neighbor
- Model validation
- Model Evaluation
- Gridsearchcv
5.2: Unsupervised learning
- Clustering
- Hierarchical clustering
- K-Means clustering
5.3: Ensemble Learning
- Adaboost
- Gradient Boosting
- Introduction to deep learning
- Introduction to tensorflow, Keras
- Introduction to computer vision
6.1. Artificial Neural Network
- Artificial Neural Network
- Perceptron
- Activation Functions and Types
- Weight Initialization Technique
- Optimization
- Adagrad
- Adam
- Regularization
- Dropout
6.2. Convolutional Neural Network
- Convolutional Neural Network
- CNN Architecture
- Convolution, pooling , flattening
- Image classification with CNN
- Transfer Learning(Alexnet, vgg16, )
- Opencv Basics
6.3.Recurrent Neural Network
- Recurrent Neural Network
- Architecture of RNN
- LSTM
- Bi-directional LSTM
- Introduction to NLP
- Spacy
- pipeline-transformers
- Text preprocessing
- Tokenization
- Stemming
- Lemmatization
- Introduction to Large Language Models (LLMs)
- Working with Pre-trained and Transfer Learning Models
- LLMOps: Managing and Monitoring Large Language Models
- Mini project :Text Summarization with Pre-trained Models
- Mini Project - Development and deployment of a Machine Learning Model using Streamlit.
- Main Project - Development and deployment of a Deep Learning model using Flask.
ADVANCED DIPLOMA IN DATA SCIENCE WITH GENAI - 7 MONTHS
- Git
- Git Hub
- Introduction to Statistical Analysis
- Descriptive statistics
- Inferential statistics
- Mean, Median, Mode
- Standard deviation, Variance, Range
- Outliers
- Quartile range
- Interquartile range
- Probability
- Estimation and Hypothesis
- Testing
- Scatter Diagram
- Missing values
- Imputation Techniques
- Covariance
- Correlation and Regression
- Random variable
- Normal distribution
- Skewness
- Kurtosis
- Central limit theorem
- Anova
- Python introduction
- variables
- Data types
- String
- Functions
- Conditional Statements
- Loop Functions
- Oops
- Inheritance and types
- Exception Handling
- File Handling
- Module Handling
- Python Regex
4.1: NumPy
- Introduction to numpy
- Numpy arrays
- Operations on arrays
- Indexing & slicing
- Numpy functions
4.2: Pandas
- Introduction to pandas
- Data manipulation
- Series Data frames
- Importing and exporting files
- Basic functions
- Date range
- Group by
- Merging
- Concatenation
- Pivot table
- Contingency table
4.3: Matplotlib
- Introduction to Matplotlib
- Different Types of Charts
- Bar chart
- Line Chart
- Scatter Chart
- Pie Chart
- Stack plot
4.4 Seaborn
- Introduction to Seaborn
- Seaborn Data Visualization Basics
- Univariate Data Visualization
- Bivariate & Multivariate Data Visualization
- Categorical Data Visualization
- Advanced Customization
- Working with Seaborn's Built-in Datasets
- Integrating Seaborn with Matplotlib
- Seaborn Real-World Applications
- Data Wrangling and Manipulation
- Descriptive statistics
- Identifying Patterns and Outliers
- Missing value and Outliers
- Imputation techniques
- Transformation techniques
- Standardization
- Normalization
- Introduction to Artificial Intelligence and Machine learning
- Regression and classification
6.1: Supervised Learning
- LinearRegression
- LogisticRegression
- NaiveBayes
- Decision Trees
- RandomForest
- SupportVectorMachines
- K-NearestNeighbor
- Modelvalidation
- ModelEvaluation - Gridsearchcv
- Ensemble learning
6.2: Unsupervised learning
- Clustering- K - Means Clustering, Hierarchical Clustering
- Associate Rule Learning- Apriori Algorithm
- Dimensionality Reduction- Principal Component Analysis
6.3: Ensemble Learning
- Adaboost
- Gradient Boosting
- Extreme Gradient Boosting
- Introduction to deep learning
- Introduction to tensorflow, Keras
- Introduction to computer vision
7.1. Artificial Neural Network
- Artificial Neural Network
- Perceptron
- Activation Functions and Types
- Weight Initialization Technique
- Optimization
- Adagrad
- Adam
- Regularization
- Dropout
7.2. Convolutional Neural Network
- Convolutional Neural Network
- CNN Architecture
- Convolution
- pooling
- flattening
- Image classification with CNN
- Transfer Learning(Alexnet, vgg16 )
- Opencv Basics
- Object detection
- Autoencoders
7.3.Recurrent Neural Network
- Recurrent Neural Network
- Architecture of RNN
- LSTM
- Bi-directional LSTM
- Introduction to NLP Spacy & NLTK
- Pipeline-transformers
- Text preprocessing- Tokenization Stemming Lemmatization
- Stopwords Removal
- Word embedding or vectorization
- Unigrams,Bigrams,Ngrams
- NLP models(LSTM & GRU )
- Sentiment analysis
- Speech<-> Text using Python
- Introduction to GenAI
- Large Language Models (LLM)
- Stable diffusion
- Image generation
- Gemini
- Landscape
- Retrieval-Augmented Generation (RAG)
- OLLAMA
- LANG CHAIN
- LLMOps (LLM Operations & Monitoring)
- Pre-trained models
- Mini project:FAQ chatbot using LLM
- Mini Project - Development and deployment of a Machine Learning model using Streamlit.
- Main Project - Development and deplioyment of a Deep Learning model using Flask.
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Marketing in the future will be driven by AI. Companies are employing AI technologies for the generation of content, the creation of efficient ad campaigns, customer engagement, and decision-making based on data analysis. In all sectors of the economy, from startups and e-commerce companies to multinational corporations, there is an ever-growing need for AI-enabled digital marketers.
For those who have a passion for technology, creativity, branding, and online business development, digital marketing enabled by AI technologies opens up vast possibilities. Becoming a digital marketer, performance marketer, social media strategist, content creator, or marketing automation specialist, you will get access to lucrative job positions and many opportunities for professional growth.
At Futura Labs, we have developed an AI-powered digital marketing course aimed at teaching students how to apply innovative marketing strategies based on AI. The program combines several courses on SEO, social media marketing, paid advertising, content creation, email marketing, analytics, and automation.
You will gain the knowledge required to utilize cutting-edge technology such as ChatGPT, Canva AI, Google Ads, Google Analytics 4, HubSpot, Semrush, Mailchimp, and Looker Studio for marketing purposes and create compelling campaigns that deliver high returns.
Most importantly, no previous knowledge is required to join this course, making it perfect for beginners who can learn everything about marketing right from the basics to the latest techniques using artificial intelligence.
In our 8-week course, you will be provided with the following learning opportunities:
- AI Content Marketing
- Social Media Marketing with AI
- Meta & Google Ads
- Email Marketing & Automation
- E-commerce & Performance Marketing
- Marketing Analytics & Reporting
- Freelancing & Agency Building
- Personal Branding & Client Acquisition
You will also work on live projects and a capstone campaign to gain real-world industry experience and build a strong portfolio.
Top Skills You Will Learn
- AI-Powered Content Creation
- SEO & SEM
- Social Media Marketing
- Meta & Google Ads
- Performance Marketing
- Email Marketing Automation
- Marketing Analytics
- Branding & Strategy
- AI Prompting for Marketing
- Video & Creative Marketing
Tools Covered
- ChatGPT
- Canva AI
- Google Ads
- Meta Ads AI
- HubSpot
- Hootsuite AI
- Google Analytics 4
- Semrush
- Mailchimp AI
- Looker Studio
Job Opportunities
- AI Digital Marketing Specialist
- Performance Marketing Executive
- Social Media Manager
- SEO Specialist
- Content Marketing Strategist
- PPC & Ads Specialist
- Marketing Automation Expert
- Freelance Digital Marketer
- E-commerce Marketing Executive
- Digital Marketing Manager
Who Can Learn
- Students & Fresh Graduates
- Entrepreneurs & Business Owners
- Marketing & Sales Professionals
- Freelancers & Content Creators
- Career Changers
- Small Business Owners
- Anyone Interested in AI & Marketing
Why Choose Futura Labs
Futura Labs provides a practical approach to learning where career-oriented education is prioritized. Our course in Kochi and Calicut, AI-Powered Digital Marketing, consists of practical sessions and case studies related to industry-standard practices. The course includes projects that involve the use of artificial intelligence for marketing activities.
Our faculty is composed of professional trainers who provide mentorship by conducting live campaigns, case studies, and project work. Additionally, students will be assisted with portfolio management, freelance marketing, job interview skills, and other aspects of career planning.
Futura Labs helps its students gain certifications from global platforms such as Google, Meta, and HubSpot, increasing their value in the competitive world of job hunting.
Futura Labs aims to train professionals for the AI-driven future of marketing. Our placement assistance, technical mock interviews, and career advice are geared towards preparing our students for a successful career in digital marketing.
The future of software development has been revolutionized through AI code development systems. Nowadays, website development and application programming do not necessarily take years to develop. This is because of AI-assisted programming systems and “vibe coding” technology that helps everyone create applications much faster compared to the old days.
Vibe coding is an app development trend in which developers utilize artificial intelligence, prompts, and no-code development techniques to make websites, SaaS applications, business automation systems, and more. Businesses such as startups and freelancers are actively searching for individuals who can develop products much faster by using AI-assisted development programs.
In Futura Labs, our course, titled Vibe Coding, is tailored to aid beginners who have no coding experience in building applications with ease. With practical tasks, AI-enabled development, and real-time building of products, participants will learn how to make websites, automation, databases, AI applications, and micro-SaaS.
Top Skills You Will Learn
- Understanding the Vibe Coding Mindset
- Building Websites & Apps using AI
- Prompting for UI & Product Design
- Using AI coding tools like Cursor & Bolt.new
- Building Multi-page Web Applications
- Authentication & User Login Systems
- Database Management with Supabase
- AI Integrations using ChatGPT API
- Workflow Automation with Zapier & Make.com
- Deploying & Launching Live Applications
- Freelancing & Monetizing Digital Products
Tools & Platforms Covered
- Cursor
- Replit
- Supabase
- Zapier
- Make
- Vercel
- Netlify
- Stripe
- OpenAI ChatGPT API
- Gumroad
- Lemon Squeezy
Who Can Learn?
- Students & Fresh Graduates
- Entrepreneurs & Startup Founders
- Freelancers & Creators
- Designers & Digital Marketers
- Non-technical Professionals
- Anyone Interested in Building Apps with AI
Job Opportunities
- AI App Developer
- No-Code Developer
- SaaS Product Builder
- Automation Specialist
- Freelance Web Developer
- AI Workflow Builder
- Product Prototyping Specialist
Why Futura Labs?
At Futura Labs, we focus on practical product development and real-world project building to help learners create live applications with confidence. Our Vibe Coding Course in Kerala is designed to help beginners rapidly build, launch, and monetize digital products using modern AI-powered development tools and no-code technologies.
The application of artificial intelligence has dramatically changed the business environment in terms of communication, operation, and growth. From simplifying routine activities to enhancing customer experience and productivity, AI technology has been incorporated by businesses in almost all industries.
There are numerous ways through which businesses are employing the application of AI, including marketing, business performance analysis, automation, decision-making processes, and even managing operations. Professional and knowledgeable individuals who can implement the applications of AI in business environments have become indispensable assets in industries such as retail, Healthcare, Finance, education, HRM, and digital marketing.
Our course “AI For Business & Automation” offered by Futura Labs is aimed at providing entrepreneurs, professionals, and students with knowledge of implementing AI into business practices.
From AI-powered communication and content creation through workflow automation and business strategies, this course offers practical training with the most recent AI technology utilized by top corporations around the world.
Top Skills You Will Learn
- Understanding AI Fundamentals & Business Applications
- Identifying AI Opportunities in Businesses
- AI-Powered Content Creation & Communication
- Social Media & Marketing Automation using AI
- Presentation & Design Creation with AI Tools
- AI for HR, Finance & Customer Support
- Workflow Automation using Zapier & Make.com
- Building AI SOPs & Automated Business Systems
- AI Strategy, ROI Measurement & Team Adoption
- Creating Complete AI Business Transformation Plans
AI Tools Covered
- OpenAI ChatGPT
- Canva AI
- Adobe Firefly
- Notion AI
- ClickUp AI
- Zapier
- Make
- Otter.ai
- Fireflies.ai
- Gamma
- Beautiful.ai
Who Can Learn?
- Business Owners & Entrepreneurs
- Marketing & Sales Professionals
- HR & Operations Teams
- Students & Fresh Graduates
- Freelancers & Consultants
- Administrative & Support Professionals
Job Opportunities
- AI Business Consultant
- AI Automation Specialist
- AI Operations Executive
- AI Marketing Strategist
- Workflow Automation Consultant
- AI Productivity Specialist
- Digital Transformation Associate
Why Futura Labs?
As Futura Labs, our emphasis is on real-life business application and learning by doing so that you learn how to apply artificial intelligence in business. The AI for Business & Automation Course in Kerala will teach you how to apply artificial intelligence in businesses to help them save time, increase efficiency, cut down costs, and grow intelligently.
Artificial intelligence is changing the game in how companies create content, automate processes, analyze data, and increase efficiency. Whether creating campaigns or developing automated business applications, AI and prompt engineering are now must-have skills in any company’s arsenal.
Prompt engineering is simply the technique used by humans to provide useful inputs to AI, such as OpenAI ChatGPT, Anthropic Claude, and Google Gemini, to ensure that the output is reliable and of good quality. In today’s world, where the need for solutions enabled by artificial intelligence is on the rise, prompt engineers have great value in marketing, business, design, etc.
The Prompt Engineering & AI Tools course offered by Futura Labs equips learners, both students and entrepreneurs, with the skills required to harness the capabilities of modern AI technology through relevant training and real-life application. The course will equip learners with the knowledge and skills required for writing good prompts and utilizing modern AI tools in video, image, workflow, and audio tasks.
Top Skills You Will Learn
- Foundations of AI & Large Language Models (LLMs)
- Prompt Engineering Techniques & Advanced Prompting
- Zero-shot, Few-shot & Chain-of-Thought Prompting
- AI Content Creation for Business & Marketing
- Image Generation using Midjourney, DALL·E & Adobe Firefly
- Video & Audio AI Tools Mastery
- Workflow Automation using AI
- Building AI-Powered Business Systems
- Creating AI SOPs & Prompt Libraries
- Freelancing & Career Opportunities in AI
AI Tools Covered
- OpenAI ChatGPT & DALL·E
- Anthropic Claude
- Google Gemini
- Midjourney
- Adobe Firefly
- Runway
- ElevenLabs
- Notion AI
- Perplexity AI
- CapCut AI
Who Can Learn?
- Students & Fresh Graduates
- Digital Marketing Professionals
- Content Creators & Designers
- Business Owners & Entrepreneurs
- HR, Finance & Operations Professionals
- Freelancers & AI Enthusiasts
Job Opportunities
- Prompt Engineer
- AI Content Strategist
- AI Marketing Specialist
- AI Workflow Consultant
- Automation Specialist
- AI Research Assistant
- Freelance AI Consultant
Why Futura Labs?
Futura Labs is committed to providing pragmatic approaches to the utilization of AI and industrial-level courses to help students stay on top of the dynamic field of AI. The Prompt Engineering & AI Tools Course in Kerala by Futura Labs will ensure that you are prepared for any AI-based job in the industry.
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