daac-courses

Data Analytics Course in Jaipur

Data Analytics Course in Jaipur

With a Data Analyst course in Jaipur in collaboration with IBM, you can kick start your career in data analysis. This course will learn Python, Tableau, Hadoop, Spark, and R. Data analytics has gained the utmost importance and growth. Data analytics and its techniques play a crucial role in technologies such as artificial intelligence and machine learning. Many Data Analytics training centers in Jaipur offer different Data Analytics training and certification, offering great career opportunities. Various skills and tools are involved with Data Analytics Training in Jaipur, such as Statistical Analysis, Machine Learning, Predictive Analysis, Regression Modeling, Deep Learning, Hypothesis Testing, Natural Language Processing, and programming languages like R & Python, and many more.

In India, what are the scopes of data analytics?

According to experts, India is the vast data analytics market leader. Because of the country's transformations, the amount of data around us is increasing accelerated. Most businesses have become extremely important to employ prominent data professionals for valuable information insights. The following industries will benefit from renowned data professionals:

Banking
The banking sector increasingly relies on predictive analytics to improve consumer service and performance and catch problems before they become significant.

Manufacturing
Analytics provides insight into production plants' future income or output needs to scale up operations and maintain customer satisfaction when necessities change.

Retail
Retail personnel can benefit from the strength of using massive data to make predictions and better understand what motivates clients to buy and what incentives are most likely to get them to achieve their goals.

Health Care
In order to make accurate diagnoses or to determine the likely outcomes of treatments for human beings with certain conditions, analytics can be used.

IT (Information Technology)
Cutting-edge cyber security mechanisms heavily rely on data science. Data scientists have brought probability and statistics to the field of I.T. They also work closely with cyber security experts to combat threats faced in the industry.
A data analytics engineer's future responsibilities include:

Data Security
Information security will be transformed by analytics. We redefine differential privacy, intrusion detection, virtual watermarking, and malware countermeasures using analytics.

Internet of Things (IoT)
Analytics equipment and strategies to handle massive amounts of structured and unstructured data generated by IoT will gain importance as the Internet of Things (IoT) continues to overgrow.

Growth of Cognitive Analytics
There will be an increase in cognitive analysis in the coming days. Companies voice their needs louder and make the most of their data to gain financial benefit, which confirms the scope of information analytics in the future.

Open Source Solutions
There will be a resurgence of interest in 'Open Source Solutions.

Boost in demand for Data Scientists
Boost in demand for Data Scientists- a search for individuals who can combine quantitative analysis skills with the ability to create a compelling, visible story from their data.

Data Accuracy
Data Accuracy would become a source of concern for companies.

According to predictions, the volume of data will increase by 50 times by 2024. Companies must keep up with the demands of significant volumes of data to avoid becoming obsolete. Therefore, advanced analytics specialists are crucial for companies who want to alter their business models and stay competitive.

Last year, the companies with the most excellent variety of openings for data analysts were JPMorgan, Accenture, Microsoft, Adobe, Flipkart, AIG, Ernst & Young, Wipro, and Vodafone & Deloitte.

The outcomes of DAAC Data Analytics training in Jaipur

This course will understand the various techniques used to handle large data sets via data analytics. In this course, students learn about the technologies used to store and process vast amounts of data. Students will learn various techniques used to analyze structured and unstructured data and build visual stories using Tableau and PowerBI. Industry professionals who want to learn more about contemporary data frameworks. The Data Analytics course is the ideal course. During the three-month Data Analytics training in Meerut, you will learn about SQL, NoSQL, Tableau, PowerBI, and Advanced Excel concepts. Students will study relational database management systems and document-based database systems and how to retrieve, manipulate, and analyse large datasets. Also, they will be introduced to various concepts to represent data on the serving layer so that the results can be displayed in a more accessible and more readily consumable manner. It contains several applied case studies designed to help participants solve complex business problems, improving profitability.

  • Working with a variety of data generation sources
  • Data can be loaded, retrieved, updated, and deleted using RDBMS
  • Different SQL and NoSQL queries can be used to analyze structured and unstructured data
  • Understanding of document-based and row-oriented databases
  • Business decisions based on data-driven, visual insights
  • Create dashboards and reports for daily use
  • Data should be presented using advanced Excel concepts to make it easier to understand
  • Take proactive business decisions using live reports derived from streaming data.

Why DAAC is Best Institute for Data Analytics

Our training company specializes in Data Analytics and is based in Jaipur. We aim to develop your technical and artistic skills. We provide the necessary experience of training and working with a team of professional I.T. experts. It gives you a competitive advantage. Therefore, learn and develop Flutter skills to further your career. You will gain an edge in the market by taking advantage of this opportunity. Take your job to the next level by learning and developing in Flutter

  • Training from Experts
  • Affordable Fees
  • Learn from Basics
  • Thousands of happy alumni
  • 80% Practical
  • Job Oriented Course - Learn from Basics to Advanced Topics.
  • 100% Job Opportunities
  • Dedicated Placement Team - Check Recently placed students on site
  • Interview Prepare Sessions
  • Resume Building
  • Live Projects / Study Material etc. Provided
  • Reasonable charges
  • Expert Counselling
  • Free Demo

Syllabus of Data Analytics Course in Jaipur

Our training company specializes in Data Analytics and is based in Jaipur. We aim to develop your technical and artistic skills. We provide the necessary experience of training and working with a team of professional I.T. experts. It gives you a competitive advantage. Therefore, learn and develop Flutter skills to further your career. You will gain an edge in the market by taking advantage of this opportunity. Take your job to the next level by learning and developing in Flutter

  • Training from Experts
  • Affordable Fees
  • Learn from Basics
  • Thousands of happy alumni
  • 80% Practical
  • Job Oriented Course - Learn from Basics to Advanced Topics.
  • 100% Job Opportunities
  • Dedicated Placement Team - Check Recently placed students on site
  • Interview Prepare Sessions
  • Resume Building
  • Live Projects / Study Material etc. Provided
  • Reasonable charges
  • Expert Counselling
  • Free Demo

Course Feature

Data Analytics

  • Duration 1 Months
  • Class Timings 1.5 hour a day, 5 days a week
  • Eligibility

Beginner

MODULE - I

Data Analysis With Python

Python Programming
  • Python Core
  • String Objects and Collection
  • Tuples, Sets Dictionary Object Basics
  • Functions, Lamda, Map, Filter, Reduce
  • OPPS Concepts and File Handling
  • Exception Handling
Statistics
  • Descriptive Statistics
  • Sample vs Population Statistics Random Variables
  • Probability Distribution Function Expected Value
  • Binomial Distribution
  • Normal Distribution Z Score
  • Central Limit Theorem
  • Hypothesis Testing
  • Type 1 Type 2 Error
  • Confidence Interval
  • Chi-Square Test
  • ANOVA Test
  • F Stats
Numpy
  • Numpy - ND array object.
  • Numpy - Data Types.
  • Numpy - Array Attributes.
  • Numpy - Array Creation Routines.
  • Numpy - Array From Existing.
  • Data Array From Numerical Ranges.
  • Numpy - Indexing Slicing.
  • Numpy - ND Array Object.
  • Numpy - Data Types.
  • Numpy - Array Attributes.
  • Numpy - Array Creation Routines.
  • Numpy - Array From Existing.
  • Data Array From Numerical Ranges.
  • Numpy - Indexing Slicing.
  • Numpy - Advanced Indexing.
  • Numpy - Broadcasting.
  • Numpy - Iterating Over Array.
  • Numpy - Array Manipulation.
  • Numpy - Binary Operators.
  • Numpy - String Functions.
  • Numpy - Mathematical Functions.
  • Numpy - Arithmetic Operations.
  • Numpy - Statistical Functions.
  • Sort, Search Counting Functions.
  • Numpy - Byte Swapping.
  • Numpy - Copies Views.
  • Numpy - Matrix Library.
  • Numpy - Linear Algebra
Pandas
  • Python Pandas - Series
  • Python Pandas - Data Frame
  • Python Pandas - Panel
  • Python Pandas - Basic Functionality
  • Reading Data from Different File Systems
  • Python Pandas - RE Indexing Python
  • Pandas - Iteration
  • Python Pandas - Sorting.
  • Working with Text Data Options Customization
  • Indexing Selecting
  • Data Statistical Functions
  • Python Pandas - Window Functions
  • Python Pandas - Date Functionality
  • Python Pandas - Time Delta
  • Python Pandas - Categorical Data
  • Python Pandas - Visualization
  • Python Pandas - Iotools
Minor Exam and Project

MODULE - II

Data Visualization Techniques

  • Seaborn
  • Cufflinks
  • Plotly
  • Matplotlib
  • Bokeh
Minor Exam and Project

Intermediate

Note: In Intermediate Also Includes Beginners Content


MODULE - I

EDA Data Storytelling

  • IPL Dataset
  • Olympic Dataset
  • IMDB Dataset
  • Red Wine Quality Dataset
  • House Prices Dataset
Minor Exam and Project

MODULE - II

Machine Learning-1

  • Introduction and Types of Machine Learning
  • Feature Engineering
  • Feature Selection
  • Linear Regression
  • Logistic Regression
  • Model Evaluation Techniques
Minor Exam and Project

MODULE - III

Machine Learning-2

  • SVM (Support Vector Machine)
  • Naive Bayes
  • Decision Tree
Minor Exam and Project

MODULE - IV

Machine Learning-3

  • Random Forest
  • Dimensionality Reduction Using PCA
  • KNN(K-Nearest Neighbors)
  • K Means Clustering
  • Optimization
Minor Exam and Project

Professional

Note: In Professional Also Includes Beginners & Intermediate Content


MODULE - I

Deep learning - 1

  • Introduction to Deep Learning
  • Problems and Uses Cases
  • Leaning Rate
  • Activation Function
  • Optimizers
Minor Exam and Project

MODULE - II

Deep learning - 2 (Theory)

  • ANN (Artificial Neural Network)
  • CNN( Convolutional Neural Network)
  • RNN(Recurrent Neural Network)
  • AutoEcoders
  • Tensorflow and Keras
Minor Exam and Project

MODULE - III

Computer Vision -1

  • Decoding Images
  • Object Detection
Major Exam and Project

MODULE - IV

Computer Vision -2

  • Annotation For Building Clean Models
  • Building FaceAuthentication
  • Transfer Learning
Major Exam and Project

MODULE - V

Natural Language Processing - 1

  • Introduction to NLP
  • Bag of Words Model
  • Seq2Seq Model
  • Word2Vec
Major Exam and Project

MODULE - VI

Natural Language Processing - 2

  • Language Translation
  • BERT
  • Chat Bot
Major Exam and Project

FAQ's

The science of data analytics is analyzing raw data to conclude it.
A skilled data analyst is currently one of the most sought-after professionals globally.
As part of the Data Analytics course, candidates will learn to apply data and analytics principles in business, data visualization, and data science methodologies.
According to reports, the average salary for an entry-level business/data analyst with a bachelor's degree and up to two years' experience is 5-10 LPA.
Data analysts do not need advanced coding skills, but they should have experience with analytics software, data visualization software, and data management software.
To become a data analyst, you need a Bachelor's degree, which is required for most entry-level jobs as a data analyst. Finance, Economics, Mathematics, Statistics, Computer Science, and Information Management are relevant disciplines.
The candidate should have a strong understanding of mathematics, and you should be able to solve common business problems.
A Data Analyst can easily transition to becoming a Data Scientist since they already possess some relevant skills.
A data analyst should have skills that include Structured Query Language (SQL), Microsoft Excel, Critical Thinking, R or Python–Statistical Programming, Data Visualization, Presentation Skills, Machine Learning, etc.
The Analysis Tool: Pak is an Excel add-in that provides financial, statistical, and engineering data analysis tools..

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