Ultimate Data Science Project Workshop: AWS, AGILE CRISP-DM, and MLOps

27th July, 2024

Real-Time End-to-End Data Science Project Workshop. Business Problem, Business ROI, AWS, Monitoring, Maintenance, e.t.c. 

Timing: 6PM - 10PM (IST)

Rs. 799/-

Register Now
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Calling all data scientists, engineers, analysts, IT pros, project managers, and aspiring data gurus! Unlock the secrets to mastering end-to-end data science projects on AWS with AGILE and MLOps methodologies—boost your career in just 4 hours!

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Hours
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What Will You Learn in This Workshop

Welcome and Introduction

  • Overview of the workshop
  • Objectives and expected outcomes

Business Value Creation in Data Science Projects

Introduction to AGILE CRISP-DM Methodology

Data Collection Techniques

Data Storage and Management in AWS

Data Preprocessing and Cleaning

Exploratory Data Analysis (EDA)

Introduction to Machine Learning and MLOps

Model Building and Training

Model Deployment and Monitoring

Model Maintenance and Retraining

Q&A Session

27th July, 2024

Real-Time End-to-End Data Science Project Workshop. Business Problem, Business ROI, AWS, Monitoring, Maintenance, e.t.c. 

Timing: 6PM - 10PM (IST)

Rs. 799/-

Register Now

About Kanth

  • Kanth Worked as a Principal Data Scientist with proficiency in Machine learning, Deep Learning, Generative AI, and LLMs, with around 12+ years of involvement in conveying end-to-end project pipelines using AGILE CRISP, DataOps, Big Data Streaming Pipelines, and MLOps Pipelines
  • Kanth is an AI CoE and Six Sigma Certified. He is an AI Consultant for companies like Nokia, EY, Cognizant, BMW, DU Telecom etc. u00a0Kanth delivered AI Solutions using AI Software Stack.u00a0
  • Kanth has experience in delivering customized training on statistics, cloud computing, machine learning, deep learning, general AI, data engineering, data analytics, data science, and reinforcement learning.
  • Delivered Training Across Dubai, Malaysia, Singapore, South Africa, Sudan etc.
  • Helped various organisations to implement AI & Gen AI using AI Software Stack & made them achieve tremendous financial gains
  • Experience in Delivering 100+ pieces of training for working Data Scientists and AI Engineers to Upskill them for Future Projects.
  • Experience in delivering 50+ PMP Programs, ITIL Programs, Agile Programs, etc
  • India – EY, Infosys, TechMahindra, ExlSolutions, Suzlon, Wipro, TCS, CSC, HCL, HP, Deloitte, IIT-Bhubaneswar, KIIT u2013Bhubaneswar, R&D u2013 Hyundai

  • Corporate training across different location like Dubai(Etisalat), Malaysia ( X-Fab), Canada(X-Axis), Singapore(DBS Bank)

  • Colleges u2013 Nearly 400+ Colleges all over India

Learners Also Ask?

Most Asked Questions from 100000+ Learners from different backgrounds.

What is Data Science Course For?

Data Science Course enables people to perform Descriptive and predictive analytics using tools like Python, Power BI, Tableau, MySQL, Machine Learning, Statistics & NLP. Why use Descriptive Analytics? To share monthly reports/weekly/yearly reports with the management/leaders with the help of tools like Power BI & MySQL so that they can make business decisions with the help of a Business Dashboard developed by a Data Scientist. Why use Predictive Analytics? To enable statements about the future, for example, what will be sales in the next month? To perform those activities, data scientist uses Machine learning with Python. In a nutshell, Data Science is helping companies to make various decisions with the help of data.

Data Science Course Syllabus

To be a Job-Ready Data Scientist, Learn this Data Science Course Syllabus. First, start with Python, Power BI, MySQL, Statistics, Advanced Statistics, Machine Learning, Natural Language Processing & Deployment like Streamlit or Gradio. Practical knowledge and confidence are essential.

Is Data Science Course Hard?

The answer is 50-50; It’s not 50% Easy & 50% hard. Let me explain; topics like Python, MySQL, Power BI, Tableau, Excel, and Coding of ML Algorithms. You can learn them quickly with more practice. But Topics like Statistics, Advanced Statistics, Machine Learning algorithm math, NLP Math, Analytical Thinking and Approach explanation are Hard. So Allocate your time accordingly. With consistency and grit, you can achieve your transition 100%

Who is Eligible for Data Science?

Anyone with Any Degree/Any Engineering can take up a Data Science Career. But people with a math background find it more understandable. Even non-programmers can take up Data Science Career but need to give extra time to learn to program. So even though I’m from mechanical with zero programming knowledge, I have had a fantastic career in Data Science.

Can a Fresher Become Data Scientist?

The answer is a big “YES”. You can become Data Scientist as Fresher, but you must focus on Real-Time Projects in your Resume. How to get real-time projects as freshers without working? No need to worry. I will share three options to build Experience as a fresher.

  1. Take up any Internship for Free/Paid [Goal is to get Experience, not salary]
  2. Take up any freelancing work from a platform like Upwork or through LinkedIn connections.
  3. Take up BEPEC Data Science Programs and Build Experience in Data Science/Machine Learning/Data Analytics.
What is the Job after Data Science?

Once you complete the training, you can try various Job titles like Data analyst, Business Analyst, Decision Scientist, Data Scientist, Machine Learning Engineer, and NLP Engineer.

Is Data Science a Lot of Math?

Not really! Most of the math is from our Intermediate and a few from engineering. If you remember your intermediate math, you can learn and understand it quickly. You can learn math soon with more practice and mind map-based learning for easy learning and connections.

What is the future scope of Data Science?

I hope you may be confused with ChatGPT, AutoML, e.t.c., but those things may not automate or remove “Data Science Jobs”. Data Science is more of Analytical Thinking, Problem-Solving & Financial Gains. Companies are in the early stages of Data-Driven Decision Making. We can see a long future for Data Science professionals.

Is Data Science Easy for Non IT Students?

For Non-IT Students understanding Python & Machine Learning Math is a bit complex. We need to give more time for practice and revision on those topics. A lot of my students from Non-IT made successful career transitions.

How do I start a Career in Data Science?

First complete Job-Ready Data Science Course Syllabus like Python, Statistics, SQL, Power BI, Tableau, Advanced Statistics, Machine Learning Algorithm, Natural Language Processing & Deployment. Once completed, you can work on real-time projects, place them in your Resume, and start giving the interviews.

I'm having 8+ years of experience, Can I get Hike with Data Science?

You can get a salary hike from your current CTC with 8+ years of Experience. Roles & Responsibilities you place in your resume matter significantly in your salary hike and transition. For more info, please book a call consultation.

I'm having Experience, Can I shift to Data Science without Resigning?

Yes, you can transition to Data Science without resigning from your current job. We guide you so that once you receive an offer letter related to Data Science with a better salary and position, you can resign from your current job and shift to Data Science.

I'm having Career Break, Can I resume my career with Data Science?

Yes, you can shift to Data Science even with a career break; we helped many BEPEC learners resume their careers with Data Analytics, Data Science, or AI Jobs. So we got the right formula to restart your career after the break. So book a Call Consultation to get more info about that.

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