DATA SCIENCE COURSE IN NOIDA WITH UNCODEMY

Best Data Science Training Institute in Noida & Best Data Science Course Provider in Noida

At Uncodemy, Be an industry-ready Certified Data Science professional with this exclusive Data Science Course in Noida by immersive learning of Data Analysis with Machine Learning models, Visualization, Forecasting and predicting Models, Deep Learning & more with a 100% placement guarantee Data Science Course Program in Noida.

Uncodemy Certified is Best Data Science Training Institute in Noida, having a 100% Placement Record and 100% practical training in Data Science courses for Students and working professionals. Uncodemy Data Science training in Noida, Syllabus covering complete form scratch to advance Standard of Data Science Certification and Job Oriented Career Opportunity. Data Science Training Institute in Noida is offering course enrolment for the upcoming batch in Noida, Students can enroll and get the Global Certificate of Data Science Course.

Learn 14+ programming tools & languages, Live case studies, and projects, 6 months of live Classes, get mentorship from industry experts, dedicated career support, & much more with the best data science course in Noida. The focus is also on offering the most affordable data science course in the Noida fee structure.

Why should you learn – Data Science Course

Data Science is a field to investigate big data by using in-vogue tools and techniques to discover hidden patterns, draw insightful information to give constructive statements on how to take business decisions effectively.

Data Science is a multifaceted approach that combines various fundamentals from different fields including statistics, computer engineering, artificial intelligence and mathematics (Linear algebra statistics theory and probability theory) and computers science to scan, mine, clean, wide and present variety of structured and unstructured data, that one can easily learn if they join Uncodemy, which is the best Data Science training institute of Noida. Basically, a STEM background (Science, technology, engineering, and mathematics). In addition to that, an apprehension of data visualization, data engineering and data analysis but not necessarily because earlier Data Science positions did require coding skills and it is still valid, however, the world of Data Science constantly changing at a fast pace, hence, latest innovations lets Data Scientists to conclude the whole process of data examining without typing a single code.

The best Data Science course training institute of India, named Uncodemy is based out of Delhi NCR, Noida, not only provides training in Data Science but also in Data Analytics, Full Stack Development, Software Testing, Automation Testing, Business Analytics, Digital Marketing, AWS, Cloud Computing, Azure Training, Python Training, Artificial Intelligence, Machine Learning, Manual Testing and Search Engine Optimisation.

The best Data Science course training provider in Noida, Uncodemy is not only limited to training but also guarantees 100% placement and dignified Data Science certification along with tutorial classes led by the advanced tutors who will guide you in such a way that you gain extensive skills in topics such as natural language processing, reinforcement learning, deep learning data pre-processing, data exploration, model building, data cleaning, feature engineering, and model evaluation.

Other Assets Include-

• Well equipped labs.
• Content libraries.
• Regular webinars.
• 24/7 Availability of tutors.
• Special batches for working students, flexible schedules.

Uncodemy, which is known for its advanced technicalities to deal with any kind of certified course, especially Data Science, is here with lifetime validity, comes with the added benefits of Pedagogic Material which are must have to complete the Data Science course includes books, Inquiry papers, and other amenities with no hidden or extra cost.

Why Enroll in Uncodemy’s Data Science Training Course in Noida?

Data scientists have to try ‘big data expeditions’ to search the data for previously undiscovered interest – the first popular Uncodemy’s Online course Data Science training institute in Noida use. Typical applications include marketing segmentation, ads, dynamic pricing models tweaked, or risk-finding banks and financial risk models modified.

Uncodemy offers Best Data Science Course in Noida to help freshers and professionals to upskill their way ahead in the industry. Uncodemy has been functioning as a catalyst in imparting top-notch Data Science courses in Noida. Moreover, The Data Science course in Noida with placement, by Uncodemy, is curated by industry experts to make you industry-ready and ultimately build a strong career in this ever-growing domain.

This course on data scientists will help you master analytical techniques such as data discovery, data visualization, and various predictive analytical techniques by implementing real-life, industry-oriented Uncodemy ’s Online course Data Science training institute projects using the programming language for Python Uncodemy Online course Data Science Course in Noida.

Why You Should Learn Data Science Training Course In Noida From Uncodemy

Uncodemy Focus on Innovative ideas, High-quality Training, Smart Classes, 100% job assistance, and Opening the doors of opportunities. Our Data Science Trainees are working across the nation. We at Uncodemy India, the No#1 Data Science Training Course in Noida with 100% Placement. Uncodemy – The contents of its Data Science Training in Noida are carefully designed as per the Global standards to make sure that its students are well-prepared to cater to the demands of the IT industry in not just India but all over the world. Uncodemy provides the best data science course in Noida, where you get hands-on training on all relevant and in-demand tools, techniques, and technologies from this Data Science course in Noida with placement. Also with the most affordable data science course in Noida fees structure.

Data Science Training Course & Duration

What are The Essentials for Data Science Course?

Here is a portion of the specialized ideas you should think about before beginning to realize what is Data Science.

• Machine Learning – AI is the foundation of Data Science. Data Scientists need to have a strong handle on ML notwithstanding essential information on insights.
• Modeling – Numerical models empower you to make speedy estimations and expectations depending on what you think about the information. Displaying is likewise a piece of ML and includes recognizing which calculation is the most reasonable to tackle a given issue and how to prepare these models.
• Statistics – Measurements are at the center of Data Science. A durable handle on insights can assist you with extricating more knowledge and acquiring more significant outcomes.
• Programming – Some degree in writing computer programs is needed to execute a fruitful Data Science project. The most well-known programming dialects are Python, and R. Python is particularly famous because it’s not difficult to learn, and it upholds numerous libraries for Data Science and ML.
• Databases – As a proficient information researcher, you need to see how data sets work, how to oversee them, and how to separate information from them.

What are The Applications of Data Science?

1. Medical care – Medical care organizations are utilizing Data Science to assemble complex clinical instruments to recognize and fix infections.
2. Gaming – Video and PC games are currently being made with the assistance of Data Science and that has taken the gaming experience to a higher level.
3. Picture Recognition – Recognizing designs in pictures and identifying objects in a picture is one of the most well-known Data Science applications.
4. Suggestion Systems – Netflix and Amazon give film and item suggestions dependent on what you like to watch, buy, or peruse on their foundation.
5. Coordination – Data Science is utilized by coordination organizations to advance courses to guarantee quicker conveyance of items and increment functional productivity.
6. Misrepresentation Detection – Banking and monetary foundations use Data Science and related calculations to recognize false exchanges.

Curriculums for Data Science Training Course In Noida

Set the Basics Right

Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. For example, finance companies can use a customer’s banking and bill-paying history to assess creditworthiness and loan risk.

1. Python for Data Science

Python Basics

• Need for Programming
• Advantages of Programming
• Overview of Python
• Organizations using Python
• Python Applications in Various Domains
• Python Installation
• Variables
• Operands and Expressions
• Conditional Statements
• Loops
• Command Line Arguments

Data Structure and File Operations

• Method of Accepting User Input and eval Function
• Python – Files Input/Output Functions
• Lists and Related Operations
• Tuples and Related Operations
• Strings and Related Operations
• Sets and Related Operations
• Dictionaries and Related Operations

Functions and Object Oriented Programming

• User-Defined Functions
• Concept of Return Statement
• Concept of name =” main ”
• Function Parameters
• Different Types of Arguments
• Global Variables
• Global Keyword
• Variable Scope and Returning Values
• Lambda Functions
• Various Built-In Functions
• Introduction to Object-Oriented Concepts
• Built-In Class Attributes
• Public, Protected and Private Attributes, and Methods
• Class Variable and Instance Variable
• Constructor and Destructor
• Decorator in Python
• Core Object-Oriented Principles
• Inheritance and Its Types
• Method Resolution Order
• Overloading
• Overriding
• Getter and Setter Methods
• Inheritance-In-Class Case Study

Working with Modules and Handling Exceptions

• Standard Libraries
• Packages and Import Statements
• Reload Function
• Important Modules in Python
• Sys Module
• Os Module
• Math Module
• Date-Time Module
• Random Module
• JSON Module
• Regular Expression
• Exception Handling

Introduction to NumPy

• Basics of Data Analysis
• NumPy – Arrays
• Operations on Arrays
• Indexing Slicing and Iterating
• NumPy Array Attributes
• Matrix Product
• NumPy Functions
• Functions
• Array Manipulation
• File Handling Using NumPy
• Array Creation and Logic Functions
• File Handling Using NumPy

Data Manipulation using Pandas

• Introduction to pandas
• Data structures in pandas
• Series
• Data Frames
• Importing and Exporting Files in Python
• Basic Functionalities of a Data Object
• Merging of Data Objects
• Concatenation of Data Objects
• Types of Joins on Data Objects
• Data Cleaning using pandas
• Exploring Datasets

2. Data Science Primer and Statistics

Exploratory Data Analysis

• Introduction
• Stages of Analytics
• CRISP DM Data Life Cycle
• Data Types
• Introduction to EDA
• First Business Moment Decision
• Second Business Moment Decision
• Third Business Moment Decision
• Fourth Business Moment Decision
• Correlation

Feature Engineering

• What is Feature
• Feature Engineering
• Feature Engineering Process
• Benefit
• Feature Engineering Techniques

Inferential Statistics & Hypothesis Testing

• Basics Of Probability
• Discrete Probability Distributions
• Continuous Probability Distributions
• Central Limit Theorem
• Concepts Of Hypothesis Testing – I: Null And Alternate Hypothesis, Making
• A Decision, And Critical Value Method
• Concepts Of Hypothesis Testing – II: P-Value Method And Types Of Errors
• Industry Demonstration Of Hypothesis Testing: Two-Sample Mean And
• Proportion Test, A/B Testing

3. Machine Learning

• Linear Regression
• Simple Linear Regression
• Simple Linear Regression In Python
• Multiple Linear Regression
• Multiple Linear Regression In Python
• Industry Relevance Of Linear Regression

Linear Regression

• Simple Linear Regression
• Simple Linear Regression In Python
• Multiple Linear Regression
• Multiple Linear Regression In Python
• Industry Relevance Of Linear Regression

Logistic Regression

• Univariate Logistic Regression
• Multivariate Logistic Regression: Model
• Building And Evaluation
• Logistic Regression:
• Industry Applications

KNN classifier

• Data mining classifier technique
• Application of KNN classifier
• Lazy learner classifier
• Altering hyperparameter(k) for better accuracy

Support Vector classifier

• Black box
• SVM hyperplane
• Max margin hyperplane
• Kernel tricks for non linear spaces

Decision Tree Classifier

• Rule based classification method
• Different nodes for develop decision trees
• Discretization
• Entropy
• Greedy approach
• Information gain

Ensemble Learning

• Challenges with standalone model
• Reliability and performance of a standalone model
• Homogeneous & Heterogeneous Ensemble Technique
• Bagging & Boosting
• Random forest
• Stacking
• Voting & Averaging technique

Time Series Analysis

• Difference between cross sectional and time series data
• Different component of time series data
• Visualization techniques for time series data
• Model based approach
• Data driven based approach

Clustering

• Difference between Supervised and Unsupervised Learning
• Prelims of clustering
• Measuring distance between record and groups
• Linkage functions
• Dendrogram

Dimensionality Reduction

• Dimension reduction
• Application of PCA
• PCA & its working
• SVD & its working

Market Basket Analysis

• Point of Sale
• Application of Association rules
• Measure of association rules
• Drawback of measure of association rules
• Condition probability
• Lift ratio

Deep Learning

Introduction to Perceptron, Multilayer Perceptron/ANN

• Black box techniques
• Intution of neural networks
• Perceptron algorithm
• Calculation of new weights
• Non linear boundaries in MLP
• Integration function
• Activation function
• Error surface
• Gradient descent algo

Deep Learning Black Box Technique – CNN, RNN

• Imagenet classification challenges
• Convolution network applications
• Challenges in classifying the images using MLP
• Parameter explosion
• Pooling layers
• Fully connected layers
• Alexnet case study
• Modelling sequence data
• Vanishing/Gradient descent explode

Platforms for Deep Learning & Deep Learning Software Libraries

• What is a Deep Learning Platform?
• H2O.ai
• Dato GraphLab
• What is a Deep Learning Library?
• Theano
• Deeplearning4j
• Torch
• Caffe

5. Data Visualization and Story Telling

Basic Visualization Tools

• Bar Charts
• Histograms
• Pie Charts
• Box Plots

Basic Visualization Tools Continued

• Scatter Plots
• Line Plots and Regression

Specialized Visualization Tools

• Pair plot
• Word Clouds
• Radar Charts
• Waffle Charts

6. Natural Language Processing

• Text Mining & Natural Language Processing
• Text data generating sources
• How to give structure to text structure using bag of words
• Terminology used in text data analysis
• DTM & TDM
• TFIDF & its usage
• Word cloud and its interpretation

7. SQL

Getting Started and Creating, Selecting & Retrieving Data with SQL

• 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 Statement
• Creating Temporary Tables
• Adding Comments to SQL

Filtering, Sorting, and Calculating Data with SQL

• Basics of Filtering with SQL
• Advanced Filtering: IN, OR, and NOT
• Using Wildcards in SQL
• Sorting with ORDER BY
• Math Operations
• Aggregate Functions
• Grouping Data with SQL

Subqueries and Joins in SQL

• Using Subqueries
• 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

• Working with Text Strings
• Working with Date and Time Strings
• Date and Time Strings Examples
• Case Statements
• Views
• Data Governance and Profiling
• Using SQL for Data Science

Accessing Databases using Python

• How to access databases using Python?
• Writing code using DB-API
• Connecting to a database using DB API
• Create Database Credentials
• Connecting to a database instance
• Creating tables, loading, inserting, data and querying data
• Analysing data with Python

8. Excel

Analyzing and Visualizing Data using Excel

• Input data & handling large spreadsheets
• Tricks to get your work done faster
• Automating data analysis (Excel VLOOKUP, IF Function, ROUND and more)
• Transforming messy data into shape
• Cleaning, Processing and Organizing large data
• Spreadsheet design principles
• Drop-down lists in Excel and adding data validation to the cells.
• Creating Charts & Interactive reports with Excel Pivot Tables, PivotCharts, Slicers and Timelines
• Functions like: – COUNTIFS, COUNT, SUMIFS, AVERAGE and many more.
• Excel features: – Sort, Filter, Search & Replace Go to Special etc…
• Importing and Transforming data (with Power Query)
• Customize the Microsoft Excel interface
• Formatting correctly for professional reports.
• Commenting on cells.
• Automate data entry with Autofill and Flash-fill.
• Writing Excel formulas & referencing to other workbooks / worksheets.
• Printing options
• Charts beyond column and bar charts: – Pareto chart, Histogram, Treemap, Sunburst
• charts & more

9. TABLEAU

Analyzing and Visualizing Data using Tableau

• Introduction to Data Visualization
• Tableau Introduction and Tableau Architecture
• Exploring Data using Tableau
• Working with Data using Tableau including Data Extraction and
• Blending
• Various Charts in Tableau(Basics to Advanced)
• Sorting-Quick Sort, Sort from Axis, Legends, Axis, Sort by Fields
• Filtering- Dimension Filters, Measure Filters, Date Filters, Tableau
• Context Filters
• Groups , Sets and Combined Sets
• Reference Lines, Bands and Distribution
• Parameters, Dynamic Parameters and Actions
• Forecasting-Exponential Smoothing Techniques
• Clustering
• Calculated Fields in Tableau, Quick Tables
• Tableau Mapping Features
• Tableau Dashboards, Dashboards Action and Stories

Data science course provider of Noida called Uncodemy offers a curriculum that contains following courses to strengthen your skill in data science-

Career in Data Science

Where Do You Fit in Data Science?

Data is all over and extensive. An assortment of terms identified with mining, cleaning, examining, and deciphering Data are frequently utilized reciprocally, yet they can really include distinctive ranges of abilities and intricacy of Data.

DATA SCIENTIST

Data researchers analyze which questions need noting and where to track down the connected Data. They have business keenness and logical abilities just as the capacity to mine, clean, and present Data. Organizations use Data researchers to source, oversee, and break down a lot of unstructured data. Results are then blended and conveyed to key partners to drive vital dynamics in the association.

Abilities required: Programming abilities (SAS, R, Python), factual and numerical abilities, narrating and Data representation, Hadoop, SQL, AI

Salary:

• Data scientist: $120,931
• Senior data scientist: $141,257

 DATA ANALYST

Data examiners overcome any barrier between Data researchers and business investigators. They are furnished with the inquiries that need replying from an association and afterward coordinate and examine Data to discover results that line up with a significant level business system. Data examiners are answerable for making an interpretation of specialized investigation to subjective things to do and viably conveying their discoveries to different partners.

Abilities required: Programming abilities (SAS, R, Python), factual and numerical abilities, Data fighting, Data representation

Salary: Data analyst: $65,470

DATA ENGINEER

They center around the turn of events, sending, executives, and streamlining Data pipelines and foundations to change and move Data to Data researchers for questioning.

Abilities required: Programming dialects (Java, Scala), NoSQL data sets (MongoDB, Cassandra DB), systems (Apache Hadoop)

Salary: Data engineer: $137,776

Is data science a decent profession?

Indeed, Data Science is a decent professional way, truth be told, one of the absolute best at present. There is not a solitary industry right that couldn’t profit from Data science, making Data science jobs rise each year. Aside from this popularity up-and-comers additionally meet with the absolute most significant compensations on the lookout. As indicated by Glassdoor, Data researchers make a normal of $116,100 each year.

FOR WHAT REASONS YOU CAN CHOOSE UNCODEMY FOR A DATA SCIENCE TRAINING COURSE IN NOIDA?

We Offer the Best Data Science Training in Noida by industry specialists. Uncodemy provides the most exclusive and best Data Science course in Noida with a 100% placement guarantee. Top Data Scientists develop the Program from IBM and industry experts working in the data science companies of Noida for several decades, and the course curriculum is at par with the international industry standards. The program duration is 6 months, which aims to balance practical and theoretical learning perfectly, covering everything from the fundamentals to the advanced levels of the Data Science course in Noida with placement and across India.

• Standard just as weekend classes are given.
• We have Expert Trainers with long periods of Industry experience.
• Mentors of Uncodemy help each understudy in live venture preparation.
• We likewise offer 100% Placement Assistance.
• Our Data Science Course in Noida is developed in compliance with the current IT Industry.
• Understudies can come whenever and can get to the labs.
• We likewise set up our understudies to meet and give each device to find a new line of work.
• Conversation Zones are additionally accessible.
• Understudies will be chipping away at live ventures.
• We provide the Best Data Science Course in Noida covering entire course modules during the Data Science Classes.
• Uncodemy Noida gives a very much Recognized Course Completion Certificate with a project letter.
• Understudies can retake the class with zero charges.
• It assists understudies with taking Data on complex specialized ideas.
• We acknowledge UPI, Check, Cash, Paytm, Credit Cards, Debit cards, and Net Banking.

Uncodemy

Certified Data Science Course Certifications

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

Uncodemy

Our Students Placed In

Uncodemy

Why Uncodemy

Testimonials

Our Students Review

Excellent

Based on 514 reviews

Amit Kumar

10. May, 2023.

The Software Testing course at Uncodemy, taught by Shubham Sir, was an excellent learning experience. The course covered a wide range of topics related to software testing, including test planning, test design, and test execution. Shubham Sir was a patient and knowledgeable instructor who provided in-depth explanations of each topic. The hands-on learning approach was highly effective, and I gained a strong foundation in software testing. Overall, I would highly recommend this course to anyone looking to develop their skills in software testing.

Neha Panday

9. May, 2023.

Uncodemy is one of the nicest software training institute in Noida. if you are looking for any trending IT courses like Data science training course, Software testing training, Java development, Digital Marketing and more.I did software Testing course here and the faculty was really good. I really want to thank Shivendra Sir and Pooja Mam for making the course easy to grasp, the technique you taught us while making the project will always be with me.Thankyou so much Uncodemy Trainers. Kudos to Shivendra sir for helping me whenever it was a need. Overall I had a nice experience here. Will look for something in future too.

manish kumar

9. May, 2023.

"I got trained on full stack development, got placed at SEInfotech. Uncodemy is the best choice to start a career in Technology. Thanks to Sonal Ma'am, Ajay sir, and Anam Mam for their support and encouragement throughout the course and getting placed in the company. Thanks to the entire Uncodemy team."

Sintu Chakraborty

9. May, 2023.

I recently had the opportunity to take a Software testing course at the Uncodemy Institute and I was extremely impressed with the quality of the instruction. The trainers were knowledgeable, engaging, and passionate about the Software Testing. The course was well organized and provided a comprehensive overview of the subject matter. The materials were up to date and the facilities were top notch. I would highly recommend the Uncodemy Institute to anyone looking to further their knowledge and skills.

SKYLUS

8. May, 2023.

I am a working professional and often find it very difficult to manage both work and studies, but the way Upendra Sir has designed this Data science course and the way faculty teaches each and every module from basic to advance is commendable.. Also in this present world of virtualization you get the liberty to choose your classes from online to offline, where you can sit in a classroom and clear all your doubts .. I have been through some other programs also from very renowned platform but never seen such a personal touch. Thank you Upendra Sir for such an amazing opportunity.

Ahmad

7. May, 2023.

I did my Full Stack development training in Noida at Uncodemy. Here's my genuine review of my experience with uncodemy for our training experience. The trainer is very friendly and full corporate levele experience. Their Teaching was Very Good and easy way. The Staff are professional and experienced who can give you an Industrial level Training with real-time projects. I would recommend Uncodemy to anyone who wishes to progress in their career. The placement was too good. Thanks.

Shoaib

7. May, 2023.

Its a good place for mean stack development training course in noida. Aslo supportive staff and provides placement, develops the communication and development skills. Very good trainers and placement. Thank You Uncodemy.

Nabeeha

7. May, 2023.

Well, I am very grateful for this idea of learning Online Digital Marketing course by Uncodemy. I had a very great experience, the teaching pattern was so smooth and systematic. Our trainer Pradyumn Sir, not only taught and cleared the concepts but also, shared their experiences and their mistakes and lessons they got from them. I will highly recommend Uncodemy those who want to learn digital marketing courses in Noida. Thank you.

Mustafa

7. May, 2023.

I'm taking a addmission to Uncodemy in Software testing training. My training is running good and l'm happy to my training mentor Mr. Shivendra sir is very good knowledge about the industrial equipment and they trained then like I'm working in live industry. And good pratical exposer. About the hardware and office staff as well as office infrastructure is nice and lab are well developed according to industry. Excellent Institute for software testing training in noida.

Aleena

7. May, 2023.

Uncodemy offers one of the finest digital marketing classes in Noida, providing exceptional business-oriented teaching that outshines other courses. Their approach to advertising implementation is commendable, and their practical training method is top-notch. With their comprehensive training covering topics such as SEO, social media, mobile marketing, Google Ads, affiliate marketing, and more, all in a period of just two and a half months, they come highly recommended for anyone seeking to master digital marketing.

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