#1 Data Science Course Syllabus for 100% Achievable Career Transition

Data Science Course Syllabus plays a crucial role in getting your career transition, but are you learning a job-ready syllabus or beginner data science course syllabus? BEPEC Full Stack Data Science Program Makes your Data Science Career Transition 100% Possible with the 3 Step correct formula. 

Step-1: You will learn Job-Ready Data Science Course Syllabus, which includes Statistics, Excel, Python, Advanced SQL, Power BI, Tableau, Advanced Statistics, Machine Learning, NLP, Deep Learning & MLOps.
Step-2: You will work as an Intern/Freelancer to build a portfolio which is most needed to be a Data Scientist. Finally, 
Step-3: Interview Preparation like Resume Building, Mock Interviews, Previous Interview Clips from BEPEC Alumni, Interview Support & Post Placement Support. 

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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.

Career Transition Checklist

6 Steps to Kick Start Your Career into Data Science


Step:1 Speak with our Career Advisor and Discuss about your Background. Fill the Scope Analysis Test & Get Personalised Roadmap on Data Science.


Step:2 Speak with Our Mentor Mr Kanth & Get 1-on-1 Roadmap Discussion Call. Clarify all your Doubts and Confusions before you Kick Start with your Career Transition Journey. 


Step:3 Start your Data Science Learning Journey with Weekday Live Classes. You will learn Python, Statistics, Power BI, MySQL, Tableau, Advanced Statistics, Machine Learning Algorithms, Natural Language Processing & Deployment.


Step:4 After completing the Syllabus, you must start working on Real-Time Projects to develop Analytical Thinking, Problem Solving & Convincing Skills Ability. For all the projects you completed under BEPEC, you can place them as Internship/Experience in your Resume.


Step: 5 After completing the Real-Time Projects, We review your projects and share essential feedback and corrections. We move to the next stage, which includes Mock Interviews & Resume Building with the right roles & responsibilities and projects based on your background.


Step:6 Once the Resume got finalised, We push your Resume to our hiring partners, and even you update your Resume across various job portals like LinkedIn, Hirist, Naukri etc.. 1-on-1 Mentorship with Kanth until you crack the interviews and post-placement support.

Data Science Course Syllabus

Job-Ready Data Science Course Syllabus with 100% Guaranteed Career Transition

Machine Learning Math
Advanced Statistics
Deep Learning
Power BI
Analytical Thinking
Problem-Solving Skills
Convincing Skills

#1 Course Syllabus Programming Tools

Your Hardwork + Our Roadmap + Real-Time Projects = 100% Career Transition

Sample Math Lectures

90% of Interview Questions come from Machine Learning Math. We focus on Deep Math which can help you to crack Data Science Interviews.

Full Stack Data Science Course Syllabus

Your Hardwork + Our Roadmap + Real-Time Projects = 100% Career Transition

Data Science Course Syllabus

Induction Classes

Mastering Python[Zero to Hero]

Applied Statistics

Mastering Excel

Statistics with Real-Time Project Demonstration on EDA

Real-Time Project Demonstration on Probability Distributions, Hypothesis Testing

Real-Time Project Demonstration on Data Analysis Using Excel

Real-Time Project Demonstration on Data Analysis using Power BI & MySQL

Real-Time Project Demonstration on Data Analysis using Tableau

Mastering MySQL

Advanced MySQL

Mastering Tableau[Zero to Hero]

Mastering Power BI[Zero to Hero]

Unsupervised Learning with Real-Time Projects

Feature Engineering Techniques

Supervised Learning[70% Interview Questions]

Mastering NLP, NLU, NLG

PySpark: BigData Processing

MongoDB Mastering

Real-Time Projects to Work as Part of Job Simulation

ML Deployment & MLOps

Advanced Time Series with Real-Time Projects

Azure Machine Learning Engineering

AWS Sagemaker Studio


Hadoop MapReduce

HIVE Database

Deep Learning, Tensorflow & Keras

Computer Vision Mastering using Tensorflow

Transfer Learning with OpenCV & YOLO

R Programming

Interview Questions: Frequently Asked Statistics

Mindmaps for Interview Revision

Interview Preparation

Course Files

Handwritten Notes

29,999.00 45,999.00

Material Includes

  • Course Related
  • .PDF Files
  • .PPTX Files
  • Mindmap Files
  • Datasets for Practice
  • Class Files are Included in the Course


Meet Your Mentor, Kanth


  • Kanth is an AI CoE and Six Sigma Certified. He is an AI Consultant for companies like Nokia, EY, Cognizant, BMW, DU Telecom etc.  Kanth delivered AI Solutions using AI Software Stack. 
  • Kanth had experience in delivering customizing training on Statistics, Cloud Computing, Machine Learning, Deep Learning, and Reinforcement Learning.
  • Delivered Training Across Dubai, Malaysia, Singapore, South Africa, Sudan etc.
  • Helped various organisations to implement 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
Our Amazing!

Speak with Our Career Advisor

Your Hardwork + Our Roadmap + Real-Time Projects = 100% Career Transition

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