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Master Python with Data Structures and Algorithms (DSA) through our unique Smart Board Access for interactive learning, real-world projects, and Live Doubt Clarification Classes. Develop Confidence with your coding skills and excel in competitive programming and job interviews.

Master MySQL fundamentals like database design, ETL,  CRUD operations, Aggregate Functions, Window Functions, SubQueries and JOINs, and advance to key concepts like indexing, stored procedures, functions, triggers, and query optimization to confidently tackle job interview questions.

Master applied statistics in Excel by understanding descriptive statistics, probability distributions and data visualization to excel in job interviews

Job-Ready Power BI by learning data modeling, DAX formulas, and interactive dashboards, and advance to job-ready skills like Power Query, report automation, and real-time analytics with exclusive Fabric SmartBoard Access to excel in business intelligence roles

Gain expertise in Data Science, Machine Learning, and NLP by mastering key tools like PyCaret, Docker, MLFlow, and GitHub, and advance to deploying models with MLOps, AWS, Deep Learning, and SHAP to be job-ready for real-world AI projects and interviews.

Master Generative AI with hands-on experience in Langchains, BedRock, and Azure, while developing Prompt Engineering, RAG Projects To Place in Resume through our interactive Smart Board Access for real-time learning, making you job-ready for cutting-edge AI applications.

Advance your deep learning knowledge with hands-on training in computer vision, RNNs, LSTMs, attention-based models, diffusion, GANs, transformers, BERT, and GPT. Engage in real-time, interactive learning through Smart Board Access, making you fully equipped for the latest AI roles and cutting-edge applications.

Gain expertise in Data Engineering with hands-on experience in tools like Databricks, Azure Data Factory, AWS and Snowflake, mastering data pipelines, ETL processes, and cloud data solutions to become job-ready for large-scale, real-world data infrastructure challenges.

Get hands-on experience in Artificial Intelligence with real-time project access, allowing you to apply advanced concepts like machine learning, deep learning, transformers, ,RNNs, RAGs, Prompt Engineering, data visualization, and predictive analytics, making you job-ready with practical skills for solving real-world business challenges.

Get hands-on experience in Data Science with R Programming, allowing you to apply advanced concepts like machine learning, data visualization, data cleaning and predictive analytics, making you job-ready with practical skills for solving real-world business challenges.

Prepare for Artificial Intelligence interviews with targeted practice on key concepts like statistics, machine learning, deep learning, computer vision, RNNs, LSTMs, Transformers, GANs and coding challenges, while enhancing your resume with expert guidance and tailored access, ensuring you’re ready to impress employers and secure your dream role.

Become a Certified Machine Learning Architect with in-depth training on model building, optimization, and deployment, gaining exclusive access to real-world tools and certifications that will elevate your expertise and help you stand out in competitive job markets.

Master Advanced Time Series Modeling by learning key techniques like ARIMA, SARIMA, and LSTM, and gain practical skills in forecasting, trend analysis, and real-world applications, preparing you to tackle complex time-dependent data challenges in any industry.

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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.

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