Edureka's online courses help you strengthen your skill set for work - and you can save 30% on key courses

What It Costs: $407 (Originally $479) [You save $72]

What You'll Learn:

• Introduction to cloud computing & SFDC
• Building blocks of Force.com platform and Introduction to the student master app
• SFDC Data model, Objects, Relationships, and Fields
• SFDC Security Model: Org-Level General administrative features and Object Level features
• SFDC Security Model: Object, Record and Field Level features
• Business Logic
• Business Process Automation
• Introduction to Sales Cloud
• Introduction to Service Cloud
• Data handling and processing
• Reports and Dashboards
• Salesforce 1, Lightning App Builder, Salesforce A, Outlook
• Activity Management, AppExchange, Content and folder management
• Chatter, Global action and Publisher Layouts
• Salesforce Mobile
• Deployment
• Application Cycle
• Lightning in Salesforce
• Buttons and Link Management
• App Exchange

What It Costs: $231 (Originally $289) [You save $58]

What You'll Learn:

• Security Essentials
• Cryptography
• Computer Networks and Security
• Application Security
• Data & Endpoint Security
• IdAM (Identity & Access Management)
• Cloud Security
• Phases of a Cyber Attack
• Security Processes in practice for Businesses

What It Costs: $330 (Originally $389) [You save $59]

What You'll Learn:

• Introduction to Data Analytics
• Introduction to R Programming
• Data Manipulation in R
• Data Import Techniques in R
• Exploratory Data Analysis
• Data Visualization in R
• Data Mining: Clustering Techniques
• Data Mining: Association Rule Mining & Collaborative filtering
• Linear and Logistic Regression
• Anova and Sentiment Analysis
• Data Mining: Decision Trees and Random Forest
• Project Work

What It Costs: $424 (Originally $499) [You'll save $75]

What You'll Learn:

• Introduction to Python
• Sequences and File Operations
• Deep Dive: Functions, OOPs, Modules, Errors and Exceptions
• Introduction to NumPy, Pandas and Matplotlib
• Data Manipulation
• Introduction to Machine Learning with Python
• Supervised Learning: I
• Dimensionality Reduction
• Supervised Learning: II
• Unsupervised Learning
• Association Rules Mining and Recommendation Systems
• Reinforcement Learning
• Time Series Analysis
• Model Selection and Boosting