Data Scientist Master's program-duplicate
- Offered bySimplilearn
- Private Institute
- Estd. 2010
Data Scientist Master's program-duplicate at Simplilearn Overview
Duration | 23 hours |
Mode of learning | Online |
Difficulty level | Advanced |
Credential | Certificate |
Data Scientist Master's program-duplicate at Simplilearn Highlights
- 32 hours of content
- Certificate of Completion
- 30+ In-Demand Skills & Tools
- Capstone and 15+ industry projects
Data Scientist Master's program-duplicate at Simplilearn Course details
- IT professionals
- Analytics Managers
- Business Analysts
- Banking and Finance professionals
- Marketing Managers
- Supply Chain Network Managers
- Those new to the data analytics domain
- Students in UG/ PG Analytics Programs
- Simplilearn's Data Scientist Master?s Program will help you master skills and tools like Statistics, Hypothesis testing, Clustering, Decision trees, Linear and Logistic regression, R Studio, Data Visualization, Regression models, Hadoop, Spark, PROC SQL, SAS Macros, Statistical procedures, tools and analytics, and many more
- The courseware also covers a capstone project which encompasses all the key aspects from data extraction, cleaning, visualisation to model building and tuning
- The program provides access to high-quality eLearning content, simulation exams, a community moderated by experts, and other resources that ensure you follow the optimal path to your dream role of data scientist
- Tools Covered - Advanced Analytics Tools, Data Collection and Storage Tools, ETL Tools, File System, Programming Tools
- Designed keeping in mind the needs of the new demand for strong analytics professionals, Data Scientist Masters program is equipped with all the conceptual and technical knowledge required in the analytics industry. This course also renders access to elearning content, resources, simulation exams and things that make certain the path to nurture your dream position of data scientist. Not only you gain strong analytic skill but business analytics and most in demand technologies like Python, R and SAS. Data scientist jobs are in great demand and perfect field for career.
Data Scientist Master's program-duplicate at Simplilearn Curriculum
Data Science Certification Training - R Programming
Lesson 00 - Course Introduction
Lesson 01 - Introduction to Business Analytics
Lesson 02 - Introduction to R Programming
Lesson 03 - Data Structures
Lesson 04 - Data Visualization
Lesson 05 - Statistics for Data Science-I
Lesson 06 - Statistics for Data Science-II
Lesson 07 - Regression Analysis
Lesson 08 - Classification
Lesson 09 - Clustering
Lesson 10 - Association
Data Science With SAS Training
Lesson 00 - Course Introduction
Lesson 01 - Analytics Overview
Lesson 02 - Introduction to SAS
Lesson 03 - Combining and Modifying Datasets
Lesson 04 - PROC SQL
Lesson 05 - SAS Macros
Lesson 06 - Basics of Statistics
Lesson 07 - Statistical Procedures
Lesson 08 - Data Exploration
Lesson 09 - Advanced Statistics
Lesson 10 - Working with Time Series Data
Lesson 11 - Designing Optimization Models
Data Science With Python
Lesson 01 - Data Science Overview
Lesson 02 - Data Analytics Overview
Lesson 03 - Statistical Analysis and Business Applications
Lesson 04 - Python Environment Setup and Essentials
Lesson 05 - Mathematical Computing with Python (NumPy)
Lesson 06 - Scientific computing with Python (Scipy)
Lesson 07 - Data Manipulation with Pandas
Lesson 08 - Machine Learning with Scikit?Learn
Lesson 09 - Natural Language Processing with Scikit Learn
Lesson 10 - Data Visualization in Python using matplotlib
Lesson 11 - Web Scraping with BeautifulSoup
Lesson 12 - Python integration with Hadoop MapRed
Machine Learning
Lesson 1: Introduction to Artificial Intelligence and Machine Learning
Lesson 2: Techniques of Machine Learning
Lesson 3: Data Preprocessing
Lesson 4: Math Refresher
Lesson 5: Regression
Lesson 6: Classification
Lesson 7: Unsupervised learning - Clustering
Lesson 8: Introduction to Deep Learning
Big Data Hadoop And Spark Developer
Lesson 00 - Course Introduction
Lesson 01 - Introduction to Big data and Hadoop Ecosystem
Lesson 02 - HDFS and YARN
Lesson 03 - MapReduce and Sqoop
Lesson 04 - Basics of Hive and Impala
Lesson 04 - Basics of Hive and Impala
Lesson 06 - Types of Data Formats
Lesson 06 - Types of Data Formats
Lesson 07 - Advanced Hive Concept and Data File Partitioning
Lesson 08 - Apache Flume and HBase
Lesson 09 - Pig
Lesson 10 - Basics of Apache Spark
Lesson 11 - RDDs in Spark
Lesson 12 - Implementation of Spark Applications
Lesson 13 - Spark Parallel Processing
Lesson 14 - Spark RDD Optimization Techniques
Lesson 15 - Spark Algorithm
Lesson 16 - Spark SQL
Tableau Desktop 10 Qualified Associate Training
Lesson 01: Getting Started With Tableau
Lesson 02: Working With Tableau
Lesson 03: Deep diving with Data and Connections
Lesson 04: Creating Charts
Lesson 05: Adding calculations to your workbook
Lesson 06: Mapping data in Tableau
Lesson 07: Dashboards and Stories
Lesson 08: Visualizations For An Audience
Data Science Capstone