

IBM - Big Data and Machine Learning Prodegree offered by Imarticus Learning
- Private Institute
- Estd. 2012
Big Data and Machine Learning Prodegree at Imarticus Learning Overview
Duration | 140 hours |
Total fee | ₹80,000 |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Big Data and Machine Learning Prodegree at Imarticus Learning Highlights
- Free Access to IBM??s Cloud Platforms featuring Cognitive Classes and IBM Watson
- In collaboration with IBM, a global leader in technology-driven solutions
- Virtual Labs for hands on practice of tools and techniques
- Tools Covered: Hadoop, Apache Spark, IBM Watson and Python
Big Data and Machine Learning Prodegree at Imarticus Learning Course details
- Bachelors or Masters in Science, Math, Statistics or Computer Applications/IT
- Experienced Professionals in Programming looking to up-skill or change career paths
- Individuals looking to enhance their resumes and build a portfolio of demonstrable work
- Access to IBM Cloud Platforms featuring IBM Watson and other software for 24/7 practice
- Flexible Delivery by Imarticus in two delivery modes: Classroom or Online training
- On completion of the Big Data and Machine Learning Prodegree, aspirants will receive an industry endorsed Certificate of Achievement, which is co-branded by IBM and Imarticus Learning.
- The Big Data and Machine Learning Prodegree, in association with IBM as the EdTech Partner, is a first-of-its-kind 160-hour certification course providing in-depth exposure to Data Science, Big Data, Machine Learning and Deep Learning. The rigorous industry-aligned curriculum offers a comprehensive understanding of Python, Spark and Hadoop for careers in Machine Learning and Big Data. The program also features seven industry projects and periodic interaction with industry leaders in the Machine Learning Ecosystem.
Big Data and Machine Learning Prodegree at Imarticus Learning Curriculum
Level 1. Introduction To Statistics
Basic Probability and Terms
Probability Distributions
Data Transformations
Exploratory Data Analysis
Level 2. Basic of Python
Introduction to Python
Control Structures
Functions and Modules
Exceptions and Files
Level 3. Data Analysis with Python
Linear Regression
Logistic Regression
Decision Trees
Pandas
Scikit Learn
Level 4. Introduction to Machine Learning
Introduction to Machine Learning
Machine Learning Algorithms
Neural Networks
Level 5. Deep Learning Applications
Keras
Tensorflow
Level 6. Hadoop and Spark
Introduction to Big Data/Hadoop
Mapreduce Framework
Hive and Spark Ecosystem
Level 7. The Future with IBM Watson
Maching Learning in 2020
IBM watson developer
Level 8. Job Readiness
Resume Writing
Mock Interviews - Domain
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Big Data and Machine Learning Prodegree at Imarticus Learning Contact Information
5th Floor, B-Wing, Kaledonia, HDIL Building, Sahar Rd
Mumbai ( Maharashtra)
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