Data Science AI ML Course in Bangalore
100% Placement Assistance
Data Science AI ML Course in Bangalore - New Batch Details
Data Science AI ML Course in Bangalore - Curriculum
Introduction to Python: History, features, installation, and basic syntax.
Variables and Data Types: Strings, integers, floating-point numbers, lists, dictionaries, and sets.
Control Flow: If-Else statements, For and While loops, functions, and comprehensions.
File Input/Output: Reading and writing text and binary files, handling exceptions, and working with file paths.
Modules and Packages: Creating, importing, and using modules and packages in Python.
Object-Oriented Programming: Classes, objects, inheritance, polymorphism, and encapsulation.
Regular Expressions: Pattern matching and text processing using regular expressions.
Databases: Connecting to databases, executing SQL queries, and managing transactions using Python.
Web Development: Creating and deploying web applications using frameworks such as Flask or Django.
GUI Development: Building graphical user interfaces using libraries such as Tkinter .
Scientific Computing: Using libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization.
Advanced Topics: Decorators, generators, coroutines, and asynchronous programming using the asyncio library.
Best Practices: Debugging, testing, optimization, code documentation, and version control.
A course on Numpy and Pandas in Python typically covers the following topics:
Introduction to Numpy: Numpy arrays, operations on arrays, and Numpy functions.
Array Manipulation: Indexing, slicing, reshaping, and stacking arrays.
Broadcasting: Broadcasting rules in Numpy and broadcasting operations.
Vectorized Operations: Element-wise operations and universal functions.
Linear Algebra: Matrix operations, eigenvalues, and singular value decomposition (SVD).
Introduction to Pandas: Series, Data Frames, and Data Structures in Pandas.
Data Processing: Indexing, filtering, and grouping data.
Data Cleaning: Handling missing values, duplicates, and outliers.
Data Transformation: Merging, joining, and concatenating data.
Data Visualization: Plotting data using Matplotlib and Pandas.
Time Series: Indexing and handling time series data.
Advanced Techniques: Handling large datasets, memory optimization, and performance tuning.
Case Studies and Applications: Using Numpy and Pandas for real-world data analysis problems such as regression analysis, hypothesis testing, and data visualization.
Probability Theory: Introduction to probability theory, including basic concepts such as probability distributions, random variables, and expected values.
Descriptive Statistics: Descriptive statistics methods such as measures of central tendency (mean, median, mode), measures of variability (standard deviation, range, variance), and percentiles.
Inferential Statistics: Inferential statistics methods such as hypothesis testing, estimation of population parameters, and confidence intervals.
Bayesian Statistics: Bayesian statistics, including Bayes' theorem, Bayesian estimation, and Markov Chain Monte Carlo (MCMC) methods.
Hypothesis Testing: Hypothesis testing methods, including t-tests, ANOVA, and chi-square tests.
Introduction to AI/ML: Overview of the field, applications, history, and current state of AI/ML.
Mathematics for AI/ML: Linear algebra, calculus, probability and statistics, optimization.
Data Preprocessing: Data cleaning, normalization, feature extraction, and selection.
Supervised Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines (SVM), k-Nearest Neighbors (k-NN), Naive Bayes, Neural Networks.
Unsupervised Learning: K-Means, Hierarchical Clustering, Density-Based Clustering, Principal Component Analysis (PCA), Autoencoders.
Reinforcement Learning: Markov Decision Processes (MDP), Q-Learning, SARSA, Deep Reinforcement Learning.
Natural Language Processing (NLP): Tokenization, Stemming, Lemmatization, Named Entity Recognition (NER), Part-of-Speech (POS) Tagging, Sentiment Analysis, Word Embeddings.
Computer Vision: Image Processing, Object Detection, Image Segmentation, Convolutional Neural Networks (CNNs).
Deep Learning: Artificial Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs).
Model Selection and Evaluation: Overfitting, underfitting, bias-variance trade-off, cross-validation, performance metrics (e.g. accuracy, precision, recall, F1 score).
Ethics and Privacy in AI/ML: Bias in AI, privacy and security concerns, responsible AI, interpretability and transparency.
Applications of AI/ML: Image classification, object detection, speech recognition, natural language processing, robotics, autonomous systems.
Working on Two Real Time industry projects with actual dataset
Key Features of Data Science AI ML Course in Bangalore
Why Choose us for Data Science AI ML Course in Bangalore?
D Turtle Institute has a team of experienced faculty members with a deep understanding of data science, AI, and ML. They have several years of experience in the industry and academia, making them well-equipped to train students for careers in this field.
The training program at D Turtle Institute is designed to provide students with industry-relevant skills. The institute has partnerships with leading companies in the data science and AI industry, which helps students get exposure to the latest trends and technologies.
The institute provides hands-on experience to students through projects and assignments. Students get to work on real-world problems and build a portfolio that showcases their skills to potential employers.
Flexible Learning Options
Flexible Learning Options
The institute provides flexible learning options, including online and offline classes, weekend batches, and customized training programs. Students can choose the learning option that best suits their schedule and learning style.
Upto Date Curriculum
Upto Date Curriculum
The institute has an up-to-date curriculum that is designed to prepare students for the latest tech trends in the industry.
D Turtle Institute has received positive reviews from students and industry experts. The institute has a track record of producing skilled data scientists and AI professionals who have gone on to work for leading companies in the industry.
The institute provides personalized attention to each student, ensuring that they receive individualized support and guidance throughout the program.
D Turtle Institute offers its training programs at an affordable price point, making it accessible to students from all backgrounds.
Career Support Services
Career Support Services
D Turtle Institute provides career support services to students, including resume building, interview preparation, and job placement assistance.
Benefits of Data Science with AI & ML
D Turtle Institute offers classroom training programs for Data Science with AI & ML. The training is delivered by expert faculty members who have extensive industry experience.
D Turtle Institute offers online training programs for Data Science with AI & ML. The training is delivered through a virtual classroom platform, enabling students to learn from anywhere in the world.
D Turtle Institute offers corporate training programs for organizations looking to upskill their employees in Data Science with AI & ML. The training is tailored to the specific needs of the organization and delivered at their premises or online.
D Turtle Institute offers a placement program for students who complete their Data Science with AI & ML training. The institute has tie-ups with various companies and helps students secure job opportunities.
D Turtle Institute offers project training programs for students who want to gain practical experience in Data Science with AI & ML. The institute provides projects based on real-world scenarios to help students develop practical skills.
D Turtle Institute provides pre-recorded videos for students who want to learn Data Science with AI & ML at their own pace. The videos cover various topics and are delivered by expert faculty members.
Our Students Feedback
About Data Science AI ML Course in Bangalore
Data Science with AI & ML (Artificial Intelligence & Machine Learning) is an interdisciplinary field that combines statistical analysis, machine learning algorithms, and computational techniques to extract insights and knowledge from data. It involves a range of techniques such as data mining, predictive analytics, and natural language processing to analyze and interpret complex data sets.
The demand for skilled professionals in Data Science with AI & ML is on the rise as organizations are increasingly relying on data-driven insights to inform their decisions. A career in Data Science with AI & ML can be highly rewarding as it offers opportunities for growth and innovation.
The Data Science AI ML Course in Bangalore at D Turtle Institute offers a comprehensive program that covers all the essential topics in the field.
With its high-quality training and excellent placement record, D Turtle Institute is one of the best places to upskill in Data Science AI ML Course in Bangalore.
After completing the training process, you will receive a course completion certificate from Turtle Academy. Enrolling in to our training course will not only help you to gain knowledge but also you will get exposure to Industry best practices and soft skills.
Our placement assistance team will guide you through the interview process, from preparing for interviews and crafting your resume to practicing with mock interviews.
Enroll in our D Turtle Academy’s Data Science AI ML Course in Bangalore.
Data Science AI ML Course with Certification
A Data Science with AI & ML certification validates the skills and knowledge of professionals in the field and can help them stand out in a competitive job market.
There are various certifications available for Data Science with AI & ML, such as Certified Data Scientist by IBM, Google’s Machine Learning Crash Course, and Microsoft Certified: Azure AI Engineer Associate.
To earn a certification in Data Science with AI & ML, professionals need to complete a training program and pass an exam that tests their proficiency in the subject.
Certification in Data Science with AI & ML can open up new opportunities for professionals in various industries, such as finance, healthcare, and e-commerce, and can help them advance their careers by demonstrating their expertise in the field.
Skills Developed Post Data Science AI ML Course in Bangalore
Career Opportunities in Data Science with AI & ML
Prerequisites for Data Science AI ML Course
AI, ML, and Data Science are all interconnected and interdependent fields, and each has its own unique strengths and applications. It is difficult to say which one is better than the other because it depends on the specific problem or task you are trying to solve.
Data Science with AI & ML is the process of extracting insights and knowledge from data by using various algorithms and techniques. It involves the use of statistical and machine learning techniques to create predictive models that can be used to make informed business decisions.
Data Science involves analyzing and visualizing data, as well as making predictions using statistical techniques, while AI and Machine Learning involve building models and implementing algorithms to predict future events.
The average salary for a Data Scientist in the US is around $113,309 per year, while the average salary for an AI Engineer is around $114,121 per year. However, it varies based on factors such as job title, years of experience, industry, location, and specific skills.
The duration of the Data Science with AI & ML training program at D Turtle institute can vary depending on the specific course, but typically ranges from 1 month to 3 months.
The curriculum for Data Science with AI & ML training at D Turtle institute covers topics such as data analysis, machine learning, programming languages such as Python and R, data visualization, business acumen, and communication skills.
The Data Science with AI & ML training program at D Turtle institute is taught by experienced industry professionals who have extensive knowledge and experience in Data Science with AI & ML.
The Data Science with AI & ML training program at D Turtle institute is highly hands-on, with a focus on practical applications and real-world projects. Students work on various projects to apply the concepts they have learned and gain experience working with data sets and algorithms.
The fee for the Data Science with AI & ML training program at D Turtle institute varies depending on the specific course, duration, and format. Interested candidates can contact the institute for more information on the fees.
Yes, D Turtle institute offers placement assistance to its students upon completion of the Data Science with AI & ML training program. The institute has tie-ups with leading organizations in the industry, and students are given access to job openings and networking opportunities.
There is no specific eligibility criterion for taking up the Data Science with AI & ML training program at D Turtle institute. However, candidates are expected to have a strong foundation in mathematics, programming knowledge, and basic knowledge of statistics.
Yes, students who complete the Data Science with AI & ML training program at D Turtle institute receive a certification that is widely recognized in the industry.