Data Science Course In Delhi

Data Science

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India's No. 1 Master in Data Science Course in Delhi

Considering lockdowns and restrictions in movement due to COVID-19, You can join online programs. After that You can convert into Classroom Program with no extra fee

data science is the most attractive career option

Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. The Professional Certificates from is intended for anyone interested in developing skills and experience to pursue a career in data science or Machine Learning. Also, it is a myth that to become a data scientist you need a Ph.D. and Masters. Data Science courses are suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary The job of data scientist has become a new trend across the world, as the Data-driven decision making is increasing in popularity. Every company no matter how small or big they are, looking for employees who can understand and analyze the data It has already been declared as the hottest job, data scientist brings in skill sets and knowledge from various backgrounds such as mathematics, statistics, analytics, modeling, and business acumen. These skills help them to identify patterns which can help the organization to recognize new market opportunity read more

Data Science Course in Delhi

In our Master in Data Science Course you directly work on our client Data.

Why Data Science

The world is going to be data. I think this is just the beginning of the data period.-Jack Ma, Founder of Alibaba

AI is one of the most important things humanity is working on.-Sundar Pichai, CEO, Google

LinkedIn listed data scientist as one of the most promising jobs in 2020 along with multiple data-science-related skills as the most in-demand by companies

Healthcare, Telecom, Manufacturing Industries, Recommendation System, Computer games, Computer Vision, Robotics, Logistics, Building & Energy and many other domains where data scientist are in high demand

Data Science Training in Delhi

Data science training is an interdisciplinary field of scientific methods, processes, algorithms & systems to extract knowledge or insights from data in various forms, structured or unstructured, similar to data mining. offers you a Data Science Trainingin Delhi (classroom program as well as online program) which provides you the complete knowledge about the interdisciplinary field of Data Science.

Data Science Training in Delhi is a "concept to unify statistics, data analysis, machine learning & their related methods" in order to "understand & analyse actual phenomena" with data.Data Science Training employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science, in particular from the subdomains of machine learning, data mining, databases, and visualization

Data Science training in Delhi will help you master skills and tools like Statistics, Hypothesis testing, Clustering, Decision trees, Linear and Logistic regression, R Studio, Data Visualization, Regression models, Hadoop, Spark, PROC SQL, SAS Macros, Statistical procedures,Advanced analytics, Matplotlib, Excel analytics functions, Hypothesis testing, Kafka interfaces.

Also, data science course will master help you TensorFlow, Machine Learning, and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems.These skills will help you prepare for the role of a Data Scientist.

Data science course in Delhi: The program provides access to high-quality content, a community moderated by experts, and other resources that ensure you follow the optimal path to your dream role of data scientist.

The role of Data Scientist is the very importantfor an analytics organization. Glassdoor has ranked Data Scientist role in the first 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data scientist, you will be required to understand the business problem, design the analysis. Data science course provide by makes you master your skills in data science. Learn Data science program and go for these certification courses and become a data scientist, data analyst

Our Program syllabus

Data Science Course Structure

  • What is Analytics?
  • Different types of Analytics.
  • Importance of Analytics in Business
  • Organizations sing Business Analytics
  • Python Basic
  • Python Advanced
  • Array & Vectorized operations: NumPy
  • Plotting and Visualization: Matplotlib
  • Data Analysis: Pandas
  • Full length Data Analysis Examples and Project
  • Introduction of ML: Supervised
  • Unsupervised
  • Semi supervised
  • Reinforcement
  • Regression
  • Classification
  • Clustering
  • Matrix and Vector Operations
  • Equation of Lines and its Matrix Representation
  • Differentiation and concept of gradient
  • Unconstraint optimization, Convexity
  • Cost function / Loss Function formulation
  • Gradient Descent
  • Concept of Feature Mapping
  • Multivariable Regression
  • Polynomial Regression
  • Regularization: Bias and Variance
  • Ridge (L2 Penalty) and Lasso (L1 penalty) Regression
  • Logistic Regression
  • Logistic function
  • Principle of Maximum Likelihood.
  • Cost function formulation
  • Mini Batch Gradient Descent
  • Stochastic Gradient Descent
  • Nonlinear Decision Boundary
  • Multiclass Classification
  • Naïve Bayes Classification
  • Decision Tree
  • Ensemble Method, Random Forest
  • Boosting
  • KNN
  • SVM
  • Cost function formulation
  • Concept of Hard Margin and Soft margin
  • Constraint Optimization
  • Lagrange Multiplier
  • Primal and Dual Form
  • Basis Expansion
  • SKernel function: Linear, Polynomial, Gaussian/RBF, Sigmoid, Multiquadric and Inverse multiquadric
  • SMO Algorithm
  • Probability: Space, Event and Conditional Probability
  • Bayes’ Rule
  • Random Variable, Mass Function, CDF
  • Expectation and Variance
  • Dependent and Independent Random Variable
  • Correlation, Covariance
  • Bernoulli, Binomial Distribution
  • Probability Distribution Function
  • Gaussian Distribution, Z-score
  • Multinomial Distribution
  • Overall Joint Distribution
  • Bivariate Gaussian
  • K-means Clustering
  • hierarchical clustering
  • ARM
  • SET
  • Counting
  • Combinatorics
  • Probability Introduction
  • Conditional Probability
  • Random Variables, Expectation and Variance
  • Discrete and Continuous distributions
  • Inequalities and limit theorems
  • Statistics, Parameter Estimation and confidence Interval
  • Hypothesis Testing
  • Introduction to Databases
  • How to create a Database instance on Cloud
  • Provision a Cloud hosted Database instance.
  • What is SQL?
  • Thinking About Your Data
  • Relational vs. Transactional Models ER Diagram
  • CREATE Table Statement and DROP tables
  • UPDATE and DELETE Statements
  • Retrieving Data with a SELECT Statement4m
  • Creating Temporary Tables
  • Filtering, Sorting, and Calculating Data with SQL
  • Subqueries and Joins in SQL
  • Subquery Best Practices and Considerations
  • Joining Tables
  • Cartesian (Cross) Joins
  • Inner Joins,Aliases and Self Joins,Advanced Joins: Left, Right, and Full Outer Joins,Unions
  • Modifying and Analyzing Data with SQL
  • Accessing Databases using Python
  • Installation and Starting with first Data Visualization
  • Dig Deeper into Tableau Interface
  • Making Data Connections
  • Context of Data Visualization
  • Understanding of data calculationsin excel.
  • Formatting of data calculation formatting.
  • MS Excel functions
  • Understanding about Sorting Filtering & Validation MS
  • Excel charts
  • Pivot Table
  • Understanding of Data Tools Panel.
  • Basics of Macro Recording
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