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.
Most Asked Questions from 100000+ Learners from different backgrounds.
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.
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.
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%
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Job-Ready Data Science Course Syllabus with 100% Guaranteed Career Transition
Your Hardwork + Our Roadmap + Real-Time Projects = 100% Career Transition
90% of Interview Questions come from Machine Learning Math. We focus on Deep Math which can help you to crack Data Science Interviews.
Your Hardwork + Our Roadmap + Real-Time Projects = 100% Career Transition
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Your Hardwork + Our Roadmap + Real-Time Projects = 100% Career Transition
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