Data Scientist Bootcamp
Data science is one of the best-suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it is no surprise that the demand for data scientists has been surging in the job marketplace.
However, supply has been minimal. Acquiring the skills necessary to be hired as a data scientist takes time and effort.
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Universities have been slow at creating specialized data science programs (not to mention that the existing ones are costly and time-consuming). Most online courses focus on a specific topic, and it isn’t easy to understand how the skill they teach fits into the picture. Solution Data science is a multidisciplinary field. It encompasses a wide range of topics, such as understanding the data science field and the type of analysis carried out, mathematics statistics, Python, applying advanced statistical techniques in Python, Data Visualization, Machine Learning, and Deep Learning. Each of these topics builds on the previous ones. And you risk getting lost along the way if you don’t acquire these skills correctly. For example, one would struggle to apply Machine Learning techniques before understanding the underlying Mathematics. Or it can be overwhelming to study regression analysis in Python before knowing what a regression is. So, to create the most effective, time-efficient, and structured data science training available online, we have developed the Data Science Bootcamp.
- 60 days of free Cloud Lab access worth ₹4000
- Live Online Classes starting on 15th Apr 2023
4.5
Instructor-led Bootcamp Training Schedule
Why enroll for Data Scientist Bootcamp?
The Data market is expected to grow from USD 3.42 Billion in 2018 to USD 10.31 Billion by 2023, at a Compound Annual Growth Rate (CAGR) of 24.7%
ADP, BBC News, ebay, GE, ING, Intuit, PayPal, Splunk, Uber & other MNCs worldwide use Data
Average salary given to a Data Scientist is around $127,231 per annum - Indeed.com
Data Scientist Bootcamp Benefits
The Data market is expected to grow from USD 3.42 Billion in 2018 to USD 10.31 Billion by 2023, at a Compound Annual Growth Rate (CAGR) of 24.7%. Education Nest’s Data Scientist Bootcamp will help you land in high-paying job & position as Data Scientist
Annual Salary
Hiring Companies
Want to become a Data Scientist?
Why Data Scientist Bootcamp from Education Nest
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
Industry Recognised Certification
- Edureka Training Certificate
- Graded Performance Certificate
- Certificate of Completion
Cloud Lab
- Preconfigured Lab Environment
- Infrastructure with Tools and Software
- Single Sign-On
About your Data Scientist Bootcamp
Data Skills Covered
- Source Code Management
- Continuous Integration
- Continuous Deployment
- Configuration Management
- Logging and Monitoring Clusters
- Provisioning and Monitoring Resources
Data Tools Covered
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Data Scientist Bootcamp Description
This Data Scientist Bootcamp is designed keeping in mind the latest trends in the industry. The course focuses on creating a strong base for various Data tools including Git, Jenkins, Docker, Ansible, Kubernetes, Prometheus and Grafana, and Terraform. The training is completely hands-on oriented and designed in a way that will help you in becoming a certified practitioner by providing you an intensified training for the best practices about Continuous Development, Continuous Testing, Configuration Management, including Continuous Integration and Continuous Deployment and finally Continuous Monitoring of the software throughout its development life cycle.
- Individuals looking to establish their credibility and value in the market as experienced Data Scientists
- System Administrators
- Cloud Professionals
- Solutions Architects
- Infrastructure Architects
- Site Reliability Engineers
- Technical Leads
- Software Engineers
- Freshers
- Understand the Data Process and Lifecycle
- Manage and keep a track of different versions of the source code using GIT
- Use Jenkins and maven to build the application and integrate the CI/CD Pipeline
- Manage your infrastructure using Ansible
- Build and Deploy containers using Docker
- Orchestrate your containerized environment with Kubernetes
- Monitor and visualize your environment using Prometheus and Grafana
- Provision new infrastructure using Terraform
- Any Scripting Language Knowledge
- Linux Fundamentals
- Python Scripting
- Linux Fundamentals
- Education Nest’s Data Scientist Bootcamp Curriculum is curated by industry experts. The Data Scientist Bootcamp syllabus includes below topics:
- Overview of Data
- Version Control with Git
- Git, Jenkins & Maven Integration
- Continuous Integration using Jenkins
- Configuration Management Using Ansible
- Containerization using Docker Part – I
- Containerization using Docker Part–II
- Orchestration using Kubernetes Part – I
- Orchestration using Kubernetes Part – II
- Monitoring using Prometheus and Grafana
- Provisioning using Terraform Part – I
- Provisioning using Terraform Part – II
- Selenium (Self-Paced)
- Nagios (Self-Paced)
- DevOps on Cloud (Self-Paced)
- AWS EC2 and IAM (Self-Paced)
Why Enroll for “Data Scientist Bootcamp”
- What is data science and its disciplines
- Benefits of each discipline
- Popular data science techniques
- Popular data science tools
- Combinatorics
- Bayesian Inference
- Distributions
- Probability in other fields
- Descriptive statistics
- Inferential statistics fundamentals
- Confidence intervals
- Hypothesis testing
- Variables and data types
- Basic Python syntax
- Python operators
- Conditional statements
- Functions, Sequences, Iterations
- Advanced Python tools
- Linear regression with statsmodels
- Multiple linear regression with statsmodels
- Linear regression with sklearn
- Logistic regression
- Cluster analysis
- K-means clustering
Data Scientist Bootcamp Projects
Industry : IT
AppleBite Co. is using Cloud for one of their products. The project uses modular components, multiple frameworks and want the components to be developed by different teams or by ....
Industry : Retail
A retail company Abstergo Corp. has recently setup an online shopping portal(website) to sell their products. Due to fierce competition, the company wants a solution that can red....
Data Scientist Certification
Upon successful completion of the Data Scientist Bootcamp, Education Nest provides the course completion certificate for Data and its validity is a lifetime.
- Individuals looking to establish their credibility and value in the market as experienced Data Scientists
- System Administrators
- Cloud Professionals
- Solutions Architects
- Infrastructure Architects
- Site Reliability Engineers
- Technical Leads
- Software Engineers
- Freshers
- Understand the Data Process and Lifecycle
- Manage and keep a track of different versions of the source code using GIT
- Use Jenkins and maven to build the application and integrate the CI/CD Pipeline
- Manage your infrastructure using Ansible
- Build and Deploy containers using Docker
- Orchestrate your containerized environment with Kubernetes
- Monitor and visualize your environment using Prometheus and Grafana
- Provision new infrastructure using Terraform
- Any Scripting Language Knowledge
- Linux Fundamentals
- Python Scripting
- Linux Fundamentals
- Education Nest’s Data Scientist Bootcamp Curriculum is curated by industry experts. The MEL4DP Course syllabus includes below topics:
- Overview of Data
- Version Control with Git
- Git, Jenkins & Maven Integration
- Continuous Integration using Jenkins
- Configuration Management Using Ansible
- Containerization using Docker Part – I
- Containerization using Docker Part–II
- Orchestration using Kubernetes Part – I
- Orchestration using Kubernetes Part – II
- Monitoring using Prometheus and Grafana
- Provisioning using Terraform Part – I
- Provisioning using Terraform Part – II
- Selenium (Self-Paced)
- Nagios (Self-Paced)
- DevOps on Cloud (Self-Paced)
- AWS EC2 and IAM (Self-Paced)
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Data Scientist Bootcamp FAQs
You will never miss a lecture at Education Nest! You can choose either of the two options: View the recorded session of the class available in your LMS OR You can attend the missed session, in any other live batch.
Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the Data Scientist Bootcamp.
Data Scientist Bootcamp is the blend of the cultural practices, philosophies, and tools that improve an organization’s capacity to offer services and applications at a rapid speed, transforming and improving their products at a much faster rate than those who employ the traditional system of technology development or infrastructure administration practices. This speed allows companies to serve clients more effectively and to compete better in the marketplace.
Post-enrolment of Data Scientist Bootcamp, the LMS access will be instantly provided to you and will be available for a lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover, access to our 24×7 support team will be granted instantly as well. You can start learning right away.
Yes, the access to the Data Scientist Bootcamp material will be available for lifetime once you have enrolled into the course. So enroll now with ourData Scientist Bootcamp and enjoy the benefit of lifetime access to the learning material.
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