100% Placement Assistance – Learn Data Science and win job opportunities in no time!
Data Science & machine learning is acclaimed as one of the best career opportunities with application in practically every sector of professional activities – e.g., e-commerce, manufacturing, IOT and robotics, medical field, security to fashion. This Data Scientist course aims to accelerate your career in Data Science and provides you with world-class training and skills required to become successful in this field. The Data Scientist course offers extensive training on the most in-demand Data Science and Machine Learning skills with hands-on exposure to key tools and technologies including Python, Data Visualization, Statistics, concepts of Machine Learning and introduction of Deep Learning.
Our Data Science course is specially designed by industry experts with more than 15 years of industry experience, covering the complete Data Science concepts from Data Collection, Data Extraction, Data Cleansing, Data Exploration, Data Transformation, Feature Engineering, Data Integration, Data Mining, building Prediction models, Data Visualization and Model Deployment. Skills and tools ranging from Statistical Analysis, Text Mining, Regression Modelling, Hypothesis Testing, Predictive Analytics, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Predictive Modelling, R Studio, Tableau, Python and R programming.
Python are covered extensively as part of this Data Science training. Python has become number one choice for data science, Machine Learning & Artificial Intelligence applications. The training is a practical oriented, step by-step guidance to Data Science using Python.
Our Data Science course is specially designed by industry experts and if you are serious about a career pertaining to Data science, then you are at the right place. Infynas Learning Solutions is considered to be one of the best Data Science training institutes. We have built careers for lot of Data Science professionals in various MNCs. “Training to Job Placement” – is our forte. We do the necessary hand-holding until you are placed. Our expert trainers will help you with upskilling the concepts, to complete the assignments and live projects. Our trainers are experienced professionals and currently working with top MNCs who keep live projects that assist pupils to learn in a much better manner. We ensure that the students work on live jobs so that they learn and relate things quickly and improve their skills well. We have a dedicated placement team who work with partners to facilitate the interviews to help the participants getting placed.
Individuals and Professionals who can consider Data Science course as a next logical move to enhance their careers. We welcome Freshers from any stream, Any Graduates, Any Post-Graduate, Any Engineers, Working Professionals from any domain, Tech Enthusiasts, Entrepreneurs, and those who see the future in the Data Science industry. There’s a lot behind learning the Data science, because of its vast scope and it is expected to be the most attractive industry in the coming generations
SQL is used to communicate with a database. According to ANSI (American National Standards Institute), it is the standard language for relational database management systems. SQL statements are used to perform tasks such as update data on a database, or retrieve data from a database.
Regression Analysis
Regularization – introduction
K-NN classification
Naïve Bayesian classifiers
SVM – (Support Vector Machines)
Decision Tree
Clustering
Association Rule Mining
Model Selection
Hyper parameter tuning
Time series modeling
Dimensionality Reduction Techniques
Ensemble Techniques
Working with imbalanced data
Explainable ML
Deploy your model
Visualization With Tableau
Introduction to Deep Learning
GitHub is a code hosting platform for version control and collaboration. It lets you and others work together on projects from anywhere. This tutorial teaches you GitHub essentials like repositories, branches, commits, and pull requests.
Learn how to implement data science, machine learning and artificial intelligence techniques and algorithms & providing solutions to real-life problems within organization.
Develop an indepth understanding of data science, machine learning and artificial intelligence concepts and identify the best models to fit various business solutions.
This course connects the academic and industry by bridging the gaps for the new aspirants.
Interact and collaborate with industry expert trainer and mentor to understand the technology and applications of Data Science, Machine Learning & Artificial Intelligence
Gain Hands-on-oriented sessions blended with elegant explanations of core concepts, real and relevant examples help candidates to learn faster and start developing projects and applications.
This course will help candidates to understand the concept of data science and build the flow and competence that is expected by job markets and industries.
Acts as an enabler to the working professionals to boost up their careers, and provide an extra edge
Our flexible and dedicated support teams help candidates to never stop learning and practicing by getting their doubts clarified in shorter response timelines and making them quickly move on further.
Regression Analysis
Regularization – introduction
K-NN classification
Naïve Bayesian classifiers
SVM – (Support Vector Machines)
Decision Tree
Clustering
Association Rule Mining
Model Selection
Hyper parameter tuning
Time series modeling
Dimensionality Reduction Techniques
Ensemble Techniques
Working with imbalanced data
Explainable ML
Deploy your model