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.
DATA SCIENCE SYLLABUS : 4 Months
- Algorithm
- Flow Chart
- GIT
- 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
- 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
- Mini Project - Using machine learning
- Main Project - Both machine learning and deep learning
DATA SCIENCE SYLLABUS : 6 Months
- Algorithm
- Flow Chart
- GIT
- 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
- Data types
- 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
- 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
- Linear Regression
- Logistic Regression
- Naive Bayes
- Decision Trees
- Random Forest
- Support Vector Machines
- K-Nearest Neighbor
- Model validation
- Model Evaluation
- Gridsearchcv
6.2 : Unsupervised learning
- Clustering
- Hierarchical clustering
- K-Means clustering
6.3 : Ensemble Learning
- Bagging
- Adaboost
- 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
- Edge detection
- Object detection
- Autoencoders
7.3 : Recurrent Neural Network
- Recurrent Neural Network
- Architecture of RNN
- LSTM
- LSTM Networks
- Bi-directional LSTM
- Introduction to NLP
- Spacy
- pipeline-transformers
- Sentiment analysis
- Text preprocessing
- Tokenization
- Stemming
- Lemmatization
- Word embedding techniques
- Mini Project - Using machine learning
- Main Project - Both machine learning and deep learning
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You should master the MERN stack if you have a strong interest in JavaScript and wish to work as a full-stack web developer. This stack enables developers to create front-end and back-end high-performance apps using JavaScript, a single programming language.
Our MERN Full Stack Course at Futura Labs will teach you how to create contemporary online applications, from using React to create user-friendly front-end interfaces to using NodeJS to create robust back-end servers.
Top Skills You Will Learn
- JavaScript & ES6+ Fundamentals
- Front-End Development with React.js
- Back-End Development with NodeJS & ExpressJS
- MongoDB Database Management
- REST API Development & Authentication
Who Can Learn?
- Students & Fresh Graduates
- Software Developers looking to upskill
- Entrepreneurs & Freelancers
- Anyone interested in Web Development
Job Opportunities
- MERN Stack Developer
- Front-End Developer (React.js)
- Back-End Developer (NodeJS)
- Full Stack JavaScript Developer
What Makes Futura Labs Unique?
To help you become proficient with the MERN stack, Futura Labs offers practical instruction using real-world examples. Whether you’re developing SaaS solutions, e-commerce apps, or social media platforms, our MERN Full Stack Course will give you the tools you need to succeed in web development.
Take your career to the next level by beginning your adventure with Futura Labs in Full Stack Development or Data Analytics. Enroll now to acquire the skills that will influence technology in the future!
PHP Laravel Full Stack Development has emerged as one of the most sought-after competencies in the tech sector due to the growing need for dynamic and scalable online applications. Because of its sophisticated features, strong security, and attractive syntax, Laravel is a powerful PHP framework that makes web development easier.
Learning Laravel is an excellent way to create online apps that are scalable, secure, and efficient. This ability is highly valued in a variety of industries, including financial, SaaS, and e-commerce.
At Futura Labs, our PHP Laravel Full Stack Course will train you in both front-end and back-end technologies, helping you develop feature-rich web applications with Laravel and modern UI frameworks.
Top Skills You Will Learn
- PHP Programming & Laravel Framework
- MVC Architecture & API Development
- Front-End Technologies (HTML5, CSS3, JavaScript, React.js)
- Database Management with MySQL
- Authentication, Security
Who Can Learn?
- Students & Fresh Graduates
- Web Developers looking to upgrade skills
- Entrepreneurs & Business Owners
- Anyone interested in Web Development
Job Opportunities
- PHP Developer
- Laravel Developer
- Full Stack Web Developer
- Software Engineer
Why Futura Labs?
Our PHP Laravel Full Stack Course is designed to provide practical training with hands-on projects. Whether you’re building e-commerce platforms or enterprise applications, we will equip you with the knowledge and expertise to excel in Laravel development.
Businesses nowadays mostly rely on data analytics to inform their decisions because data is the new oil. One of the most effective business intelligence solutions is Power BI, which assists experts in converting unstructured data into insightful understandings via interactive dashboards and reports.
Gaining proficiency in Power BI might help you stand out in the job market if you have an interest in data visualization, business analytics, or decision-making. Businesses that can efficiently analyze data and offer strategic insights are in high demand, including those in the retail, healthcare, IT, and finance sectors.
At Futura Labs, our Power BI Course covers everything from data modeling to report creation and dashboard design. Whether you’re a beginner or a professional, our hands-on training will help you master Power BI’s advanced features and real-world applications.
Top Skills You Will Learn
- Data Cleaning & Transformation
- DAX (Data Analysis Expressions)
- Creating Interactive Dashboards & Reports
- Data Modeling & Power Query
- Connecting Power BI with Databases
Who Can Learn?
- Business Analysts & Data Professionals
- Students & Fresh Graduates
- IT & Finance Professionals
- Marketing & Sales Analysts
Job Opportunities
- Business Intelligence Analyst
- Data Analyst
- Power BI Developer
- Reporting Analyst
Why Futura Labs?
At Futura Labs, we focus on real-world business use cases to ensure you gain practical skills. Our Power BI Course in Kerala is designed to help you excel in data analytics and make data-driven decisions that add value to organizations.
Software quality is now more important than ever due to the quick development of technology and the growing dependence on software applications in daily life. Businesses rely on perfect software for everything from corporate solutions to mobile apps in order to avoid risks, maintain consumer trust, and deliver smooth user experiences. As a result, there is an increasing need for qualified software testing specialists who can guarantee that apps are trustworthy, secure, and free of errors. Software Testing Course is the ideal course for you if you’re careful, have a problem-solving mentality, and wish to work in the rapidly changing IT sector.
Top Skills You Will Learn
- Manual Testing
- Automation Testing (Selenium)
- Performance Testing
- API Testing
- Test Case Design and Execution
- Bug Reporting and Defect Tracking
- Mobile Automation Testing (Appium)
Job Opportunities
- Software Tester
- Quality Assurance Engineer
- Test Automation Engineer
- Performance Tester
- QA Analyst
Who All Can Learn
- Freshers
- IT Professionals Looking to Switch Careers
- Developers Wanting to Enhance Testing Skills
- Business Analysts
- Project Managers
Why Futura Labs?
Nowadays, software applications are at the foundation of almost every sector, including finance, entertainment, healthcare, and e-commerce. However, without thorough testing for security, performance, and functionality, even the best-designed software might malfunction. Software testing is essential in this situation. To make sure the software satisfies the highest quality requirements before it is sent to end users, it entails a methodical procedure of finding and repairing flaws. To guarantee flawless user experiences and dependable application performance, a proficient software tester needs to be knowledgeable about various testing methodology, tools, and automation strategies.
Learning from some of the most skilled software testing experts in the business is possible at Futura Labs in Calicut and Kochi. By addressing real-world testing difficulties under the supervision of experts, our trainees gain practical experience through working on live projects. As the program progresses, you will receive individual guidance to help you gain the skills and confidence required to succeed in the profession. Additionally, with Futura Labs’ strong industry connections, you have a better chance of landing a job right out of the institution.
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