Data Science Certification from Itronix Solutions:

Itronix Solutions, one of India’s leading IT companies, offers a Data Science training in jalandhar with certification that will help you advance your career. This course combines theory, case studies, and capstone projects in a seamless manner. The curriculum for the course was created by certified specialists and is considered to be the best in the industry. With the worldwide accreditation, you’ll be seen by recruiters all over the world.

Data Science Training in Jalandhar

Best Data Science Training in Jalandhar

Itronix Solutions offers the most comprehensive Data Science course in Jalandhar, covering the entire Data Science lifecycle concepts from Data Collection to Data Extraction, Data Cleansing, Data Exploration, Data Transformation, Feature Engineering, Data Integration, Data Mining, building Prediction models, Data Visualization, and deploying the solution to the customers. Statistical Analysis, Text Mining, Regression Modelling, Hypothesis Testing, Predictive Analytics, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Predictive Modelling, R Studio, Tableau, Spark, Hadoop are just some of the skills and technologies available.

Itronix Solutions is regarded as the top Data Science training institute in Jalandhar, providing services ranging from training to placement as part of the Data Science training programme, with over 400+ trainees placed in companies such as Mindtree, Intel, Amazon, TCS, and Infosys, among others. Itronix Solutions provides the best Data Science training in Jalandhar and is regarded as the industry’s best.

Data Science Course Curriculum

Module 1 – Data Science Project Lifecycle
Module 2 – Introduction to Basic Statistics using R and Python
Module 3 – Probability and Hypothesis Testing
Module 4 – Exploratory Data Analysis -1
Module 5 – Linear Regression
Module 6 – Logistic Regression
Module 7 – Deployment
Module 8 – Data Mining Unsupervised Clustering
Module 9 – Dimension Reduction Techniques
Module 10 – Association Rules
Module 11 – Recommender system
Module 12 – Introduction to supervised Machine Learning
Module 13 – Decision Tree
Module 14 – Exploratory data analysis – 2
Module 15 – Feature Engineering
Module 16 – Model validation methods
Module 17 – Ensembled Techniques
Module 18 – KNN and Support Vector Machines
Module 19 – Regularization Techniques
Module 20 – Neural Networks
Module 21 – Text Mining
Module 22 – Natural Language Processing
Module 23 – Naive Bayes
Module 24 – Forecasting
Module 25 – Survival Analysis
Module 26 – End to End project Description with deployment

Assignments/Projects/Placement Support
Module 27 – Assignments
Module 28 – Projects
Module 29 – Resume Prep and Interview support

Value added courses
Module 30 – Basics of Hadoop and Spark
Module 31 – Basics of R
Module 32 – Basics of Python
Module 33 – Basics of MYSQL
Module 34 – Tableau
Module 35 – Artificial Intelligence (AI)