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DATA SCIENCE

DATA ANALYSIS AND MACHINE LEARNING TO EXTRACT INSIGHTS FROM THE DATA

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.

Course Highlights
  • 16 Weeks, 32 Sessions Program
  • 3 Projects
  • Hybrid Learning Model
  • Certification Program
  • Internship Included
  • Job Placement Assistance
  • Hackathon with Certification
  • Online or Classroom Training options
  • Regular or Weekend Batches
Online
₹ 45,000
Offline
₹ 55,000
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WHY GO FOR DATA SCIENCE?

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.

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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.


Hybrid Learning for everyone

Get a personalized dashboard and watch our proprietary videos related to the topics, before attending the scheduled Online or Offline course – Knowledge to Skill

BENEFITS

  • 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.
  • Learn to use various essential Data Science related tools and methods to be effective.
  • Work on real-times projects to solve business problems to build confidence.

Curriculum 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.

  • Descriptive & Inferential Statistics
  • Measures of Central Tendency & Dispersion
  • Data: Distributions, Quality Analysis & Variability
  • Probability & Distributions
  • Sampling Techniques, Estimation Types
  • Hypothesis Testing & Type I, Type II Errors
  • Correlation & Variance Analysis: Business Use Cases
  • Parametric & Non-Parametric Tests
  • Data Visualisation & Concepts
  • Types of Charts & Word Cloud
  • Visualising Data using Infographics
  • Evaluating an Analytics Report
  • Qualitative & Quantitative Techniques
  • Data Profiling & Management
  • Univariate, Bivariate, & Multivariate
  • Correlation & Co-Variance Matrices
  • Feature Engineering & Extraction
  • Inferential Statistics: t, f, z, ANOVA, Chi-Square
  • Data Importation
  • Functions & Formulas to Organize Data
  • Macros, Power Map & Power Pivot
  • Numerical Analysis - Statistical Functions, Data Analysis Tool pack, Pivot Tables
  • Overview of Business Intelligence
  • Business Intelligence Vs Business Analytics
  • Getting comfortable with MySQL
  • Power BI & Analytics
  • Understanding visualization
  • Decoding Business Requirement
  • Dashboarding – Data Story Telling
  • Formatting Various types of Reports
  • Programming Basics using Python
  • Scientific & Numerical Computing
  • Advanced Python
  • Linear, Logistic, Lasso, Ridge & Time-Series
  • Support Vector Machines (SVM)
  • Support Vector Machines (SVM)
  • K-Nearest Neighbour
  • Naive Bayes Classifier
  • Clustering: K-Means, K-Medoids, Hierarchical
  • Dimensionality Reduction
  • Principal Component Analysis
  • Association Rule Mining
  • Apriori Algorithm
  • Cross Validation Techniques
  • Gradient Descent Algorithm
  • Ensemble: Stacking, Blanding, Bagging, Boosting
  • Optimization: Grid & RandomizedSearchCV
  • Introduction to Big Data Applications
  • Linux and SQL Commands
  • Big Data Frameworks
  • Hadoop & Spark Ecosystem
  • Streaming with Python
  • Advanced Spark
  • Security in Big Data
  • Deployment & Types
  • Flask & Docker
  • Deploying over Cloud
  • Neural Networks
  • Activation Functions
  • Artificial Neural Networks (ANN)
  • Recurrent Neural Networks (RNN)
  • Sentiment Analysis, Text Analytics, Text Mining

COURSE HIGHLIGHTS

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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 the knowledge and skills through practice.

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PROSPECTS FOR A DATA SCIENTIST

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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SCHOLARSHIPS & DISCOUNTS

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.

Frequently Asked Questions

It’s common to have queries related to the course and future career. We have summarized frequently encountered questions for your ready reference. In case you could not find answer for your specific query, please feel free to write to us.

Almost every industry or business domain uses Data Science. Starting with Banking for Fraud detection and Loan approval or Digital Marketing for target marketing or Health Care for medicine and disease trends or Finance for stock prediction or Retail for stock quantity prediction and so on.

All our trainers are certified and practicing Data Scientists. We have practice experience in building models for various business domains hence they are qualified to mentor the students throughout the learning.

Indeed. We have Short and Long duration Programs, Regular and Weekend Programs just to meet the dynamic needs of the working professionals. Even the learners could change the batches, as per the availability to suit their schedule.

Yes. This program is a certified Data Science course and you would be awarded with a certificate soon after the completion of the program.

Projects are part of our course. We encourage students to take up minimum one project to complete their program. These projects vary as per the domain interest for the learner and supported by our mentors. All are projects address problems faced by the industry hence learners try to find solution for these through their projects giving them real-time experience.

Data Science is subject intensive and includes programming. However, Data Science is based on learning but not logic. Meaning, there will be programming to read the data, train the model and so on however, not as intense as the typical logic based programming. This reduces the programming load on the AI-practitioner and focuses more on data management and model optimization to solve the problem.

Data Science is a growing field and there are numerous opportunities in almost every domain. You could be a Data Analyst, Machine Learning Engineer, Business Intelligence Expert, or a Data Scientist. There are equal opportunities for the freshers and also the experienced professionals. The trends in the job market showcase that Data Science would stay as one of top 3 careers in demand.

You need basic statistical knowledge, logical or algorithmic thinking, and inclination to learn a programming language. These are essential and rest of the skills could be built over time. Communication and writing skills would help you in creating report and when applying for jobs.

Yes. We help learners in getting themselves market ready through profile building, interview preparation, mock interviews, assessments and more. We would also recommend jobs from our IT network and partners, where the industry professionals are looking for right talent.

If you have changed your mind after enrollment for whatever the reason may be we would refund the fee deducting administration and other costs. No questions asked. However if you start attending the sessions then refund is not possible. You could reserve your seat in the future batches.