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Data Scientist Learning Path

US$784.38

This Data Scientist Master’s program, in collaboration with IBM, helps you master the concepts of data science. You will learn key technologies including R, Python, Tableau, and Machine learning. You will also gain an understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, KNN, and pipelines required to start your career as a data scientist.

150+ hours of applied learning

Portfolio-worthy capstone demonstrating mastered concepts

25+ real-life projects providing hands-on industry training

Exclusive Hackathons and live interaction with IBM experts

Industry-recognized certificates from IBM (for IBM courses) and Simplilearn

Integrated labs for hands-on learning experience

Course Delivery Method:

Online Bootcamp: Online self-paced video-based learning and live virtual classroom conducted by the industry’s leading coaches

Prerequsites

To take this Data Scientist Master’s program you should have a basic understanding of statistics and any programming language.

Skills Covered

Exploratory data analysis
Descriptive statistics
Inferential statistics
Model building and fine-tuning
Supervised and unsupervised learning
Natural language processing
Ensemble learning

Tools Covered

Python
NumPy
Pandas
Seaborn
ScikitLearn
Matplotlib
Tableau
Tensor Flow

Key Learning Outcomes

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
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 package
Master the concepts of a recommendation engine, and time series modeling and gain practical mastery over principles, algorithms, and applications of machine learning
Analyze data using Tableau and become proficient in building interactive dashboards

Learning Path

Step 1: Python for Data Science
Step 2: Data Science with Python
Step 3: Machine Learning
Step 4: Tableau Training
Step 5: Data Science Capstone
Elective: Data Science with R
Elective: SQL Training
Elective: Deep Learning with Keras and TensorFlow
Elective: Industry Masterclass delivered by IBM

Who Will Benefit

This Data Scientist Master’s program is best suited for IT Professionals, analytics managers, business analysts, banking and finance professionals, marketing managers, supply chain network managers, beginners or recent graduates with bachelor’s or master’s degrees with an analytical frame of mind.