Data Scientist
4.5 /5- Offered bySimplilearn
- Private Institute
- Estd. 2010
Data Scientist at Simplilearn Overview
Duration | 220 hours |
Total fee | ₹54,000 |
Mode of learning | Online |
Credential | Certificate |
Data Scientist at Simplilearn Highlights
- Industry-recognized Data Science certification from Simplilearn
- Masterclasses by IBM experts
- Ask Me Anything sessions with IBM leadership
- Exclusive Hackathons conducted by IBM
- It offers more than 220 hours of interactive, live learning
- No cost EMI available
- There are capstones and over 15 real-world projects involving datasets from Amazon, Comcast, and Uber
- It offers IIMJobs Pro Membership (India only) for six months to help you build a resume and prepare for interviews
- Learner can participate in exclusive hackathons and interact with IBM experts
Data Scientist at Simplilearn Course details
- For IT Professionals
- For Analytics Managers
- For Business Analysts
- For Banking and Finance Professionals
- For Marketing Managers
- For Supply Chain Network Managers
- For Beginners or Recent Graduates in Bachelor’s or Master’s Degree
- Gain an in-depth understanding of data structure and data manipulation
- Understand and use linear and non-linear regression models and classification techniques for data analysis
- Obtain an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
- Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
- Gain expertise in mathematical computing using the NumPy and Scikit-Learn packages
- Master the concepts of recommendation engine and time series modeling and gain practical mastery over principles, algorithms, and applications of machine learning
- Learn to analyze data using Tableau and become proficient in building interactive dashboards
- This IBM-sponsored Data Science course includes unique hackathons, masterclasses, webinars, and Ask-Me-Anything sessions
- The online training will give you hands-on experience with R, Python, Machine Learning, Tableau, Hadoop, and Spark. Improve your knowledge with this Data Science course and live interaction with other practitioners and Machine Learning Engineers
- This 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, R, Tableau, and concepts of Machine Learning
Data Scientist at Simplilearn Curriculum
Python for Data Science
Lesson 1 - Welcome
Lesson 2 - Python Basics
Lesson 3 - Python Data Structures
Lesson 4 - Python Programming Fundamentals
Lesson 5 - Working with Data in Python
Lesson 6 - Working with Numpy Arrays
Lesson 7 - Course Summary
Applied Data Science with Python
Lesson 01: Course Introduction
Lesson 02: Introduction to Data Science
Lesson 03: Python Libraries for Data Science
Lesson 04: Statistics
Lesson 05: Data Wrangling
Lesson 06: Feature Engineering
Lesson 07: Exploratory Data Analysis
Lesson 08: Feature Selection
Machine Learning
Lesson 01: Course Introduction
Lesson 02: Introduction to Machine Learning
Lesson 03: Supervised Learning Regression and Classification
Lesson 04: Decision Trees and Random Forest
Lesson 05: Unsupervised Learning
Lesson 06: Time Series Modelling
Lesson 07: Ensemble Learning
Lesson 08: Recommender Systems
Lesson 09: Level Up Sessions
Practice Project
Tableau Training
Lesson 01: Course Introduction
Lesson 02: Introduction to Data Visualization and Tableau
Lesson 03: Connecting to Various Data Sources and Preparing Data
Lesson 04: Working with Metadata
Lesson 05: Spotlight One
Lesson 06: Filters in Tableau
Lesson 07: Structuring Data in Tableau
Lesson 08: Creating Charts and Graphs
Lesson 09: Spotlight Two
Lesson 10: Calculations in Tableau
Lesson 11: Advanced Visual Analytics
Lesson 12: Dashboards and Stories
Lesson 13: Spotlight Three
Data Science Capstone
Day 1 - Problem and approach overview
Day 2 - Data pre-processing techniques application on data set
Day 3 - Model Building and fine tuning leveraging various techniques
Day 4 - Dashboard problem statement to meet the business objective
Day 5 - Final evaluation
Master's Program Certificate
Data Scientist at Simplilearn Entry Requirements
- Learners need to possess an undergraduate degree or a high school diploma
- Basic knowledge of statistics and a basic understanding of any programming language is recommended
Other courses offered by Simplilearn
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