What is Data Science?
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Course Content
Introduction to Data Science
(4 Lectures)
Analytics Landscape
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Life Cycle of a Data Science Project
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Data Science Tools & Technologies
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Mastering R
(10 Lectures)
Introduction to R Programming
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Installing and Loading Libraries
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Data Structures in R
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Control & Loop Statements in R
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Functions in R
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Loop Functions in R
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String Manipulation & Regular Expression in R
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Working with Data in R
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Data Visualization in R
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Case Study
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Probability & Statistics
(8 Lectures)
Measures of Central Tendency
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Measures of Dispersion
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Descriptive Statistics
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Probability Basics
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Marginal Probability
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Bayes Theorem
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Probability Distributions
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Hypothesis Testing
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Advanced Statistics & Predictive Modeling -I
(6 Lectures)
ANOVA
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Linear Regression (OLS)
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Case Study: Linear Regression
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Principal Component Analysis
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Factor Analysis
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Case Study: PCA/FA
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Advanced Statistics & Predictive Modeling -II
(6 Lectures)
Logistic Regression
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Case Study: Logistic Regression
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K-Nearest Neighbor Algorithm
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Case Study: K-Nearest Neighbor Algorithm
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Decision Tree
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Case Study: Decision Tree
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Time Forecasting
(7 Lectures)
Understand Time Series Data
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Visualizing Time Series Components
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Exponential Smoothing
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Holt's Model
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Holt's MoHolt-Winter's Modeldel
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ARIMA
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Case Study: Time Series Modeling on Stock Price
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Course Details
Data science is a "concept to unify statistics, data analysis and their related methods" to "understand and analyse actual phenomena" with data. Data Science Training employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science from the sub-domains of machine learning, classification, cluster analysis, data mining, databases, and visualization. The Data Science Certification Course enables you to gain knowledge of the entire life cycle of Data Science, analyse and visualise different data sets, different Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes.
Who should go for this Data Science Course?
The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:
- Developers aspiring to be a 'Data Scientist'
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand Machine Learning (ML) Techniques
- Information Architects who want to gain expertise in Predictive Analytics
- 'R' professionals who wish to work Big Data
- Analysts wanting to understand Data Science methodologies
Enquiry
Training Options
Self-paced Training
299
- Lifetime access to high-quality self-paced eLearning content curated by industry experts
- 3 simulation test papers for self-assessment
- Lab access to practice live during sessions
- 24x7 learner assistance and support
Live Virtual Classes
499
- Online Classroom Flexi-Pass
- Lifetime access
- Practice lab and projects with integrated Azure labs
- Access to Microsoft official content aligned to examination
One on One Training
Enquiry Now
- Customized learning delivery model (self-paced and/or instructor-led)
- Flexible pricing options
- Enterprise grade learning management system (LMS)
- Enterprise dashboards for individuals and teams
- 24x7 learner assistance and support
Exam & Certification
No examination required.
Towards the end of the course, you will be working on a project. on successful completion, Wissenhive certifies you as a 'Data Science Expert' based on the project.
Frequently Asked Questions
If you have a Windows system, you should have:
- Microsoft Windows 7 or newer (32-bit and 64-bit)
- Microsoft Server 2008 R2 or newer
- Intel Pentium 4 or AMD Opteron processor or newer
- 2 GB memory
- 1.5 GB minimum free disk space
- 1366 x 768 screen resolution or higher
If you have a MAC system, you should have:
- iMac/MacBook computers 2009 or newer
- OSX 10.10 or newer
- 5 GB minimum free disk space
- 1366 x 768 screen resolution or higher
For executing the practicals, you will set-up R programming IDE on your machine, you can:
- Download RStudio Desktop Open Source License from the Rstudio Official Website for free
- Or, purchase the licensed Full- version of RStudio Desktop Commercial License
The detailed step by step installation guides will be present in your LMS which will help you to install and set-up the required environment. In case you come across any doubt, the 24*7 support team will promptly assist you.
Data science is an evolutionary step in interdisciplinary fields like the business analysis that incorporate computer science, modelling, statistics and analytics. To take complete benefit of these opportunities, you need a structured training with an updated curriculum as per current industry requirements and best practices.
Besides strong theoretical understanding, you need to work on various real-life projects using different tools from multiple disciplines to gather a data set, process and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes.
Additionally, you need the advice of an expert who is currently working in the industry tackling real-life data-related challenges.
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