Data Science Course


Data Science is part of the emerging technologies that are sought after by every industry, irrespective of its size and operations. Learn Data Science to analyse the data and create machine learning models for decision making. We at CEDLEARN believe in the project-based Hybrid Learning approach to convert knowledge into skills.

Online (Discount Price)

71,500/ 50000/*

(Inc 30% Discount)

  • Online Training Program

Offline (Discount Price)

78,500/ 55000/*

(Inc 30% Discount)

  • Classroom Training Program
  • 20 Weeks, 60 Sessions Program
  • 4 Project
  • Hybrid Learning Model
  • Certification Program
  • Internship Included
  • Job Placement Assistance
  • Hackathon with Certification
  • Regular or Weekend Batches


It is strange but true. Data Science is a combination of art and science. It involves extraction and analysis of relevant data from various sources. It also helps in finding the domain specific solution for the business probelm. Data Science is a combination of Data Analytics and Machine Learning techniques to develop decision making models for business decisions. Data Analytics that deals with structuring and analysing raw data to create insights and make conclusions which is core for the Data science.

Anybody can learn Data Science, from tech and non-tech background, with right guidance and methodology. Data Science is applicable and widely used in every business domain. With the ever increasing volume and versatility of the data and the complexity involved in it, market is constantly looking for the talent that could provide predicative models for decision making. The profession is in high demand now as most businesses heavily rely on data science. It is right time to invest in learning Data Science for better future.

Course image

Course Information

This Data Science course emphasises on Project-Based Learning to to meet the learning needs of students from various background and make them job-ready. Learn Data Science like a pro and our methodology invoke thought process in the learner to solve problems. Post completion of the course learners could independently build a Data Science solution using Machine Learning models. You would be offered a chance to secure an internship with relevant industries and participate in our hackathons.


  • Industry-Ready Program
  • Project Based Approach
  • Industry Driven Courses
  • Hybrid Learning Model
  • Minimum Batch Size
  • Job Preparation with Profile building
  • Internships and projects
  • Scholarship Assessments
  • Knowledge-Skill Pedagogy

You Will

  • Get Dashboard with Hybrid Learning – Watch Videos before Online or Offline classes.
  • Learn to handle data to apply statistical models and visualization techniques.
  • Conduct EDA and Feature Engineering to prepare data for Model building.
  • Build Machine Learning models as per the problems statement.
  • Have a structured thinking, analyse business problems & visualize data to generate reports..
  • Work on real-times projects to solve business problems to build confidence.
  • Learn to use various essential Data Science related tools and methods to be effective.

Course Highlights

Essential Skill-Building

Skills are what we promise – Acquire essential skills right from the preparatory course to interview readiness. Our pedagogy encourages and prepares you for real-life situations. Find the right balance between knowledge and skills through practice.

Curriculam Impact

Industry-ready curriculum to prepare learners at the pace they prefer to a full-fledged Data Scientist. A well-balanced course for learners from various academic backgrounds to master both theory and practical aspects of Data Science. The Curriculum supports step-by-step transformation while building confidence to handle various business domain problems.

  • Getting Started with python
  • Fundamentals of Python
  • Operators
  • Conditional statements
  • Sequences
  • Random, Range & Zip
  • Control loops
  • OOPs
  • Numpy
  • Pandas
  • Matplotlib and Seaborn
  • Qualitative & Quantitative Techniques
  • Data Profiling & Management
  • Univariate, Bivariate, & Multivariate
  • Correlation & Co-Variance Matrices
  • Pivoting, Group by, joins and more
  • Data types
  • Descriptive & Inferential Statistics
  • Measures of Central Tendency & Dispersion
  • Data: Distributions, Quality Analysis & Variability
  • Probability & Distributions
  • Hypothesis Testing & Type I, Type II Errors
  • Correlation & Variance Analysis: Business Use Cases
  • Parametric & Non-Parametric Tests
  • Data Importation
  • Functions & Formulas to Organize Data
  • Macros, Power Map & Power Pivot
  • Numerical Analysis - Statistical Functions, Data Analysis Tool pack, Pivot Tables
  • Power Query editort
  • MIS-Dashboarding
  • Intro to databases
  • Quiring with SQL
  • DQL
  • DDL
  • DML
  • Power BI & Analytics
  • Moddeling
  • DAX
  • Power Query editor
  • Understanding visualization
  • Data Visualisation & Concepts
  • Power BI Service
  • Intro to Tableau
  • Visualization
  • Dashboarding
  • Story telling & Publishing
  • Overview of Business Intelligence
  • Business Intelligence Vs Business Analytics
  • Decoding Business Requirement
  • Dashboarding & Data Story Telling
  • Formatting Various types of Reports
  • Intro to ML
  • Understandidng ML architecture
  • 5-Stage Approch to DS
  • EDA & FE
  • Libraries for ML
  • Linear Reg
  • Logistic Reg
  • Lasso, Ridge reg
  • SVM
  • Navie bayes
  • KNN
  • Decesion tree
  • Ensemble methods
  • Clustering: K-Means, K-Medoids, Hierarchical
  • Dimensionality Reduction
  • Principal Component Analysis
  • Association Rule Mining
  • Apriori Algorithm
  • Adv. Algorithm & Techniques
  • Gradient Descent Algorithm
  • Ensemble: Stacking, Blanding, Bagging, Boosting
  • Optimization: Grid & RandomizedSearchCV
  • Time series analysis
  • Time series models
  • Neural Networks
  • Activation Functions
  • Artificial Neural Networks (ANN)
  • Recurrent Neural Networks (RNN)

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We have understood by now that Python is a popular and versatile high-level programming language that is highly recommended for those who wish to step into the world of Programming. There is a demand for professionals with Python programming skills to be developers or work with the Data Science team. However, it is always recommended to pick up a track towards being a Python application developer or DS /AI. This would offer a career continuation and assure you to find the right career opportunities


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Monday - Saturday: 9:00a.m to 8:00p.m

Sunday: With Appointment Only

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We believe in encouraging talented learners with Scholarships to avoid the learning hurdles due to financial limitations. However scholarships must be awarded based on the merit and hence our assessments. We would be glad to assess learners using our multi-dimensional assessment to identify the dormant potential and thus encourage them through the learning process by offering financial benefits. To know more you could contact us or register for the online assessment. If you are not clear on the career path in the field of AI, please feel free to meet our career counsellor. We would be glad to guide you through the career options to draft a personalized career path.


Loved by students worldwide.

“It was an great experience from Cedlearn. I have learned a lot from your training. I am happy with their teaching and training quality. They have supported me to grow up . Thank you!”

Aditya Sharaf

“I have enrolled for AWS DevOps course and my brother enrolled for full stack course, we got hands on experience on projects as this is an IT companies training handle. and placement assistance is also provided. overall its good experience with cedlearn.”

Anup Venkat

“It was a very wonderful experience having a 1 month training for DA course here. All the staff members are also very friendly. And always ready to help for everything. I really enjoyed my time here and learnt a lot. And even our trainer Suresh Sir,was also very helpful and taught us everything practically.”

Sukanta Ramamani

“Data Science curriculum is good along with job guarantee program. Trainers are having experience and patience to explain everything in detail.”

Ishaan Reddy

“As a part of the project, the learners will be required to successfully create and implement a complete life cycle of Devops over AWS by using AWS Devops services and tools such as Git.”

Keaton Ashish

“Good place to learn data analytics course in Hyderabad and thanks to cedlearn for making my career success”

Ishitha Sen

“ joined DevOps course in this institution, they are mainly focusing on projects and job readiness. with this job readiness and project skills i got placed in Model N company as DevOps engineer with 7lpa.”

Prabhu Shanti

“ Best training centre for DA and DS, with real-time people with personal guidance, resume Building, Mock interviews and more over others part of company people come and give guest lectures on career building .”

John Rodrigues

“This is a wonderful platform for a Data Science course. This is not just like a class but like a training. It is very useful for future learning while doing a job. I have done a Data Science course on this platform. I learned so many things through their guidance.”

Abhay Kartikeya Gahlot

“It was an amazing journey for me to attend the Cedlearn Devops Training Institute. The professors were well-organized and had a high degree of knowledge. They also provided helpful tips on how to apply them in real world scenarios I really recommend this training facility to anyone interested in learning Devops.”