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Looking to jumpstart your data analytics career in Lakshmi Nagar , Delhi? Look no further than Edusoft's exceptional data analytics course. Here's what makes it top-notch: Guaranteed job referral, ensuring your future job prospects are secured. Curriculum crafted by industry professionals, delivering practical, hands-on learning experiences. Course focus on developing skills and knowledge that set you apart from the competition. Provides a solid foundation in data analytics, including data collection, analysis, visualization, and interpretation. Equips you with the tools and techniques to analyze and make sense of large data sets and make data-driven decisions. Get ready to take your data analytics career to the next level with Edusoft's!

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
  • Topics : Working with Modules and Handling Exceptions
  • Info@Edusoft' | +91-7701928515 | www.Edusoft'
  • 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 ArrayAttributes
  • 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

Basics of Data Science

  • What is Data Science?
  • What does Data Science involve?
  • Era of Data Science
  • Business Intelligence vs Data Science
  • Life cycle of Data Science
  • Tools of Data Science
  • Application of Data Science

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


  • 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

4. 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

5. 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


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

Program Highlights

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About Us

Data analytics is like a treasure hunt for hidden patterns and insights in massive amounts of data. It involves collecting, cleaning, and analyzing data to extract valuable information that can help businesses make informed decisions, improve products or services, and gain a competitive edge. By using techniques such as statistical analysis, machine learning, and data visualization, data analysts uncover hidden relationships and trends that would otherwise remain undetected. It's like a superpower for businesses to gain a crystal ball into their customers' behavior and preferences. Data analysts are like the detectives of the data world - they investigate and uncover hidden
buried in a sea of data. Here are some of their key tasks:

In short, data analysts are the key to unlocking the power of data to make smarter decisions and drive success

What is a data analytics course and why should you take one? -

A data analytics course in Laxmi Nagar, is like a crash course in unlocking the power of data. It teaches you the essential skills needed to collect, analyze, and interpret data to inform decision-making. Here are a few data analytics course benefits in Laxmi Nagar, to make you consider taking this advanced data analytics training in Laxmi Nagar, provided by Edusoft's, the well established data analytics course Institute in Laxmi Nagar:

  • Improve your job prospects and earning potential in a rapidly growing field.
  • Stay ahead of the curve by learning cutting-edge techniques and tools.
  • Enhance your critical thinking and problem-solving skills.
  • Become a more informed and effective decision-maker.
  • Learn to communicate complex data insights in a clear and concise way.

In short, a data analytics boot camp in Laxmi Nagar, is the key to unlocking the full potential of data and making data-driven decisions that drive success.

Why should you choose Edusoft's data analytics course? -

Here are some key reasons to choose Edusoft's data analytics course with placement in Laxmi Nagar:

  • Expert instructors: You'll learn from seasoned data professionals who have years of experience in the field.
  • Hands-on learning: The course is designed to provide you with practical experience through real-world case studies and projects.
  • Cutting-edge curriculum: Edusoft's curriculum is constantly updated to keep pace with the latest trends and technologies in data analytics.
  • Job readiness: The course is designed to equip you with the skills and knowledge needed to succeed in the job market.
  • Career support: Edusoft's offers career services to help you find internships, networking opportunities, and job placement assistance.

Bottom line: Edusoft's data analytics course in Laxmi Nagar is the ultimate package for anyone looking to launch or advance their career in data analytics.

Assured advantages of our out-standing data analytics course

Here are the 5 standout advantages of Edusoft's data analytics course training in Laxmi Nagar:

  • Real-world projects for hands-on learning
  • Flexible learning options to fit your schedule
  • Industry connections for networking and job opportunities
  • Supportive community for collaboration and growth
  • Cutting-edge curriculum to stay ahead of the curve

You can be confident that with Edusoft's best data analytics training in Laxmi Nagar, you'll receive a comprehensive and up-to-date education, a network of industry professionals, and the skills to succeed in this exciting field. Plus, with our job-oriented training, you'll be well-prepared to enter the workforce with the skills and knowledge needed to thrive in the ever-evolving world of data analytics

What is the ideal course curriculum for data analytics course?

A standard data analytics course curriculum in Laxmi Nagar should include the following:

  • Introduction to data analytics: The basics of data, data collection, and cleaning.
  • Data visualization: Techniques and tools for representing data visually, such as charts, graphs, and maps.
  • Statistical analysis: Methods for summarizing, exploring, and modeling data, such as descriptive statistics, hypothesis testing, and regression analysis.
  • Machine learning: Algorithms and techniques for building predictive models, such as linear regression, decision trees, and neural networks
  • Data communication: Best practices for presenting data insights to stakeholders, including data storytelling and data presentation.

This data analytics course syllabus in Laxmi Nagar will provide students with a well-rounded education in data analytics and prepare them for a wide range of job opportunities in the field.

Who is eligible for this data analytics course?

Here's what you can expect from an ideal data analytics course syllabus in Laxmi Nagar:

  • Introduction to Data Analytics
  • Data Acquisition and Preprocessing
  • Exploratory Data Analysis
  • Data Visualization
  • Statistical Analysis
  • Machine Learning and Artificial Intelligence
  • Data Mining and Pattern Recognition
  • Big Data and Hadoop
  • SQL and Database Management
  • Data Ethics and Privacy
  • Data Storytelling and Communication

With this comprehensive data analytics course curriculum in Laxmi Nagar, you'll be well-prepared to tackle complex data problems and make data-driven decisions in any industry.

Why is it beneficial to take a data analytics course? -

Taking a data analytics course from the well known data analytics course provider in Laxmi Nagar called Edusoft's is like a cheat code to success in today's data-driven world. Here's why it's beneficial:

  • Increased employability in a variety of fields
  • Ability to make data-driven decisions in any industry
  • Opportunity to work with cutting-edge technologies and tools
  • Higher earning potential compared to non-data analytics professionals
  • Flexibility to work in a variety of settings, including tech companies, consulting firms, financial institutions, and more
  • Potential to drive innovation and change in your organization or field
  • Increased problem-solving and analytical skills, which are in high demand in today's job market.

In short, a data analytics training course in Laxmi Nagar can give you a significant edge in a rapidly evolving and highly competitive job market.

What incentives one can relish after finishing the course?

Finishing a data analytics course for beginners in Laxmi Nagar, can lead to a plethora of perks:

  • Higher starting salary compared to non-certified peers
  • Ability to command a premium for your skills in the job market
  • Potential for accelerated career growth and opportunities for promotions
  • Increased credibility and recognition as an expert in your field
  • Enhanced networking opportunities and connections with other data professionals
  • Access to exclusive job opportunities and events through professional organizations.

To put it simply, completing a data analytics course can make you a hot commodity in the job market, and you'll have the skills and credentials to reap the rewards.
Here are a few exciting roles you could pursue after completing a data analytics course:

  • Data Analyst: Analyze data, extract insights, and make recommendations.
  • Data Scientist: Apply advanced statistical techniques and machine learning algorithms to make predictions and solve complex problems.
  • Business Intelligence Analyst: Use data to inform business strategy and decision-making.
  • Data Engineer: Design and build data pipelines, databases, and data storage systems.
  • Machine Learning Engineer: Develop and implement machine learning models for various applications.
  • Data Architect: Design and manage data systems and infrastructure.

The possibilities are endless - the data world is your oyster!

Perks of getting a data analytics course -

There are many benefits to our data analytics, certification course in Laxmi Nagar, kindly go through the below mentioned bullets to get the finest idea.

  • A comprehensive and high-quality course curriculum.
  • Gain valuable real-world experience with 15+ industry projects across 6+ different domains.
  • Our live interactive sessions and recorded videos give you the flexibility to learn at your own pace.
  • This course is designed to be completed in just five months, but you'll have lifetime access to the materials and resources
  • Our simulated interview sessions help you prepare for the real world and give you the confidence to succeed in a job interview.
  • You'll earn two certifications - one from Microsoft and one from a leading company. These certifications will validate your skills and give you a competitive edge in the job market.
  • You'll receive guaranteed job referrals to help you land your dream job.
  • You can choose between an online or an offline course, depending on your preferences and availability.
  • This course is designed to be completed in just five months, but you'll have lifetime access to the materials and resources.

What core skills and projects will be focused upon in this data analyst course?

Here are some of the core skills and projects you can expect to develop in a data analytics training in Laxmi Nagar:

  • Data preprocessing and cleaning: learn how to wrangle messy data into usable form.
  • Data visualization: create compelling visualizations to communicate insights effectively.
  • Statistical analysis: gain proficiency in statistical techniques like regression, classification, and clustering.
  • Machine learning: learn to build and deploy predictive models using algorithms like decision trees, random forests, and neural networks.
  • SQL: master the language of data, essential for querying and manipulating data in databases.
  • Capstone projects: apply your newly acquired skills to real-world problems in domains like marketing, finance, healthcare, or any other field of your choice
  • Big data technologies like Hadoop, Spark, and NoSQL databases.
  • Natural language processing (NLP) and text mining for analyzing unstructured text data.
  • Time series analysis for analyzing data with a temporal component, like stock prices or website traffic.
  • Predictive modeling for forecasting future outcomes, like customer churn or sales projections.
  • Sentiment analysis for understanding the emotions behind text data, like social media posts or product reviews

All of these topics will give you a well-rounded skill set and prepare you for a wide range of data analytics jobs.

How long this data analytics course will stretch?

Edusoft's’s comprehensive data analytics course duration in Laxmi Nagar, typically lasts about 4.5 months, covering topics such as data collection, cleaning, visualization, statistical analysis, machine learning, and communication of insights. The course is designed to provide students with a solid foundation in data analytics, from basic to advanced concepts, preparing them to apply their skills in the real world. Some courses may be longer or shorter, depending on the depth of the material covered and the pace of learning. But 4.5 months is a good estimate to become a pro in the data analytics game!

How much a data analytics course cost?

Edusoft's’s advanced data analytics course fees in Laxmi Nagar can vary, but a ballpark estimate for a comprehensive program would be around 30,000 INR. Factors that can influence the cost include the course duration, delivery method (online or in-person), and the level of expertise of the instructors. Some courses also offer the option to pay in instalments, which can make them more affordable. Overall, investing in a data analytics course can be a smart decision, as it can lead to a lucrative and fulfilling career.

Prediction of the future of data analytics industry

The future of data analytics is looking pretty dang promising! Here are some predictions:

  • Increased demand for data scientists and analysts due to the exponential growth of data
  • Greater emphasis on automation, machine learning, and artificial intelligence for faster, more accurate insights
  • More ethical considerations around privacy, security, and bias in data analysis
  • Wider adoption of cloud computing and big data platforms for efficient and scalable data processing
  • Expansion of data analytics into new industries like healthcare, government, and social media
  • More focus on data storytelling and communication to effectively convey insights to stakeholders
  • Increased investment in data infrastructure and data literacy training across organizations
  • Emergence of new data-driven jobs like data architects, data translators, and data privacy specialists
  • Integration of data analytics with other fields like the Internet of Things (IoT) and augmented reality (AR) to enhance customer experiences and improve operational efficiency
  • Greater emphasis on real-time data analysis and proactive decision-making to drive competitive advantage and innovation

Essentially, data analytics will continue to be a crucial component of business and decision-making, and professionals in this field will be in high demand for years to come. In short, data analytics is here to stay and will continue to shape the way we do business and make decisions in the years ahead.

How distinctive is to get the online data analytics course than an offline setting?

There are noteworthy variations between offline and online data analytics course in Laxmi Nagar. One advantage of online courses is the flexibility they offer regarding scheduling, as the course materials and lectures can be accessed anytime, anywhere. Studies have demonstrated that online learning can be equally as effective as in-person learning regarding knowledge retention and test scores. On the other hand, in-person learning may lead to greater long-term retention and a deeper comprehension of the subject matter, possibly due to the increased opportunities for interaction with the instructor and the ability to ask questions. To put it succinctly, both online and offline data analytics courses have their merits, and the optimal choice will depend on an individual's learning style and circumstances.

How huge the hunger is there in India for data analytics course? -

The demand for data analytics courses in India is quite substantial. Data analytics is a rapidly growing field, and companies across various industries are seeking individuals with strong data analysis skills. The Indian government has also recognized the importance of data analytics and is promoting the development of data analytics skills among students and professionals. The country's growing economy and digitalization has also led to an increase in demand for data analytics experts, especially in sectors like e-commerce, finance, healthcare, and IT.
Here are a few more points that highlight the demand for data analytics courses in India:

  • The job market for data analytics professionals is expected to grow by over 30% in the next few years.
  • There is a significant talent shortage in the field, with demand outstripping supply.
  • Data analytics is being integrated into a wide range of industries, from banking to retail to healthcare, leading to a diverse range of career opportunities
  • The growing importance of data-driven decision-making and the need for organizations to stay competitive in the digital age has led to an increase in demand for data analytics skills
  • The demand for data analytics skills in India is only likely to grow in the coming years, making it an attractive field for students and professionals alike. In short, the appetite for data analytics courses in India is voracious.

How much a data analyst can earn nationally and internationally? -

The salary range for data analysts can vary widely depending on factors such as location, experience, and industry. In India, the average salary for a data analyst is around INR 6 lakhs per year, but can go up to INR 20 lakhs per year for more experienced professionals in high-demand industries. Internationally, the median salary for data analysts is around $65,000 to $80,000 per year in the US, and similar ranges in other developed countries like the UK, Canada, and Australia. It's worth noting that the salary range for data analysts is constantly evolving and may change with new technology advancements and industry trends.
Here are some additional factors that can influence the salary of a data analyst:

  • Certifications and training in specific tools and technologies can increase earning potential
  • Working for larger organizations or in the tech industry can result in higher salaries
  • Specializing in specific areas such as machine learning, natural language processing, or predictive analytics can lead to higher pay
  • Location plays a significant role in determining salary, with cities like San Francisco, New York, and London generally offering higher salaries than smaller cities
  • The demand for data analysts is particularly high in fields such as finance, healthcare, and e-commerce, which can drive up salaries

What data analytics course is about?

An advanced data analytics course in Laxmi Nagar covers a broad range of topics related to the extraction, transformation, and analysis of data to derive insights and make informed decisions. Here are some of the key topics covered in a data analytics course:

  • Data wrangling and cleaning: Learn how to organize and clean large datasets for analysis
  • Exploratory data analysis: Explore and visualize data to uncover patterns, trends, and relationships
  • Statistical analysis: Learn how to use statistical methods such as regression, hypothesis testing, and correlation to draw meaningful conclusions from data
  • Data visualization: Create compelling visualizations to effectively communicate insights to stakeholders
  • Machine learning: Learn how to build predictive models using algorithms like decision trees, neural networks, and support vector machines

Benefits of getting the data analytics course -

The benefits of getting a comprehensive data analytics course in Laxmi Nagar provided by Edusoft's are numerous. Here are some of the key benefits:

  • Increased job opportunities: Data analytics is a highly in-demand field, with a projected growth rate of over 30% in the coming years
  • Higher salaries: Data analysts command higher salaries than many other fields, with median salaries of $80,000+ in many countries
  • Improved decision-making: Data analytics skills can help organizations make more informed and effective decisions based on data-driven insights
  • Greater efficiency: Data analytics can help organizations streamline processes, reduce costs, and increase productivity.
  • Increased job satisfaction: Data analytics is a dynamic and challenging field that offers the opportunity to work on complex problems and make a real impact
  • So yeah, the benefits of getting a data analytics course are pretty sweet.

How huge is the scope for data analytics course?

The scope of data analytics is massive. It's basically like the Swiss Army Knife of career paths. Here are some areas where data analytics is making an impact:

  • Healthcare: Analyzing patient data to improve diagnosis and treatment.
  • Retail: Predicting consumer behavior to optimize pricing and inventory management.
  • Finance: Detecting fraud, improving risk management, and optimizing investment decisions
  • Social media: Analyzing user behavior to improve advertising and content recommendations
  • Manufacturing: Optimizing production processes, reducing waste, and improving quality control
  • Cybersecurity: Detecting and preventing cyber threats.
  • Transportation: Optimizing logistics and traffic flow.
  • Agriculture: Improving crop yields and reducing waste.
  • Energy: Optimizing power generation and distribution
  • Supply chain management: Optimizing supply chains and logistics.
  • Education: Personalizing learning and improving student outcomes.

The sky's the limit when it comes to the potential uses of data analytics. It's a field that's constantly evolving and growing, with new applications being discovered all the time. It's a field that touches almost every industry, and the demand for skilled data analysts is only going to increase in the future. As Data analytics is helping companies make better decisions, improve efficiency, and stay competitive in a rapidly changing world. It's an exciting time to be in the field!

How to get admission in the data analytics course?

If you're interested in enrolling in data analytics course in Laxmi Nagar, you can typically do so by visiting the course provider's website, browsing their catalog of courses, and selecting the one that best matches your interests and skill level. Once you've selected a course, you can typically follow the provider's enrollment process and pay for the course to gain access to the materials and begin your learning journey.

Frequently Asked Questions

Learn from experts in live-interactive classes under Advanced data science and AI course with Guaranteed job referral.

Frequently Asked Questions

Edusoft's have a top-notch Data Analytics course in Delhi! Here are some of the highlights:

  • The course is taught by experienced professionals who are well-versed in the latest tools and techniques in the field.
  • The curriculum is highly practical and provides hands-on experience with real-world data and projects.
  • The course is designed to help you develop critical analytical skills and the ability to interpret and communicate data insights effectively.
  • The certification you earn from this course is widely recognized and can boost your career prospects in the field of data analytics.

Overall, Edusoft's seems like a great choice if you're looking to develop your skills and advance your career in data analytics.

The comprehensive Data Analytics course offered by Edusoft's in Delhi comes with a course fee of ₹30,000. For this fee, you'll receive top-notch training from experienced professionals, hands-on experience with real-world data, and certification that will boost your career prospects in the field of data analytics.

With Edusoft's Data Analytics course, you could potentially become a Data Analyst in 3 months, but it depends on your existing knowledge and experience. If you already have some background in data analysis, statistics, or computer science, you may be able to complete the course in 3 months and acquire the necessary skills to start working as a Data Analyst. However, if you're starting from scratch, it may take longer to fully grasp the material and gain the necessary experience and with Edusoft's it’s going to be very smooth with our industry, expert, tutors and trainers. Keep in mind that it takes time, dedication, and practice to become proficient in any field, and Data Analytics is no exception!

A Data Analyst in Delhi can expect a salary range of ₹4 to ₹10 lakh per year, depending on factors like experience, skills, and the specific company or industry they work in. Entry-level positions typically start at around ₹4-5 lakh per year, while more experienced professionals can earn upwards of ₹10 lakh or more. Keep in mind that this is just a general estimate, and actual salaries can vary depending on a variety of factors. Additionally, Data Analysts who possess certifications like PMP or CAPM may command higher salaries than those without these credentials.

Yes, Data Analysts are in high demand and will likely continue to be for the foreseeable future. Here's why:

  • The amount of data being produced and collected is growing exponentially, so there will always be a need for professionals who can make sense of that data and turn it into actionable insights.
  • As businesses become more data-driven, the role of Data Analysts is becoming more critical. They're the ones who help companies understand their customers, optimize their operations, and stay ahead of the competition.
  • The field of Data Analytics is constantly evolving, so there will always be new opportunities to grow and develop professionally.

The typical syllabus for a Data Analyst course covers a wide range of topics, including:

  • Data Collection and Preparation - learning how to gather and clean data from various sources.
  • Data Analysis and Visualization - using tools like SQL, Excel, and Tableau to extract insights from data and present them in a visually appealing way.
  • Machine Learning and Predictive Analytics - understanding how to use algorithms to make predictions based on historical data.
  • Statistics and Probability - learning about statistical techniques like hypothesis testing and regression analysis.
  • Business Intelligence - learning how to use data to drive business decisions and create strategies.

The trends for Data Analytics jobs in Delhi are pretty exciting! Here's what's happening:

  • The demand for data analysts is growing rapidly in non-IT sectors, such as finance, healthcare, and retail.
  • The BFSI sector (Banking, Financial Services, and Insurance) accounts for a third of all data analytics jobs in Delhi.
  • Data-driven decision making is becoming increasingly important for businesses in Delhi, and companies are seeking professionals who can help them make informed decisions based on data insights.
  • There has been a growth in job opportunities for market research analysts, who help companies understand customer behavior and preferences.

The time it takes to become a Data Analyst can vary, but here are some general estimates:

  • If you have a Bachelor's degree in a related field like computer science, statistics, or mathematics, it could take around 6 months to a year to become a Data Analyst.
  • If you're starting from scratch, you'll need to complete a Data Analytics course and build up some experience through internships or freelance work, which could take around 1-2 years.
  • For those with some experience, the time it takes to become a Data Analyst can vary from a few months to a year, depending on your prior experience and the level of the job you're applying for.

To be eligible for a Data Analytics course, you'll typically need to have:

  • A strong foundation in mathematics, particularly statistics and probability
  • A background in computer science or programming, particularly in languages like Python, SQL, or R
  • Excellent analytical and problem-solving skills
  • The ability to communicate complex data findings clearly and concisely
  • Attention to detail and the ability to work independently
  • Some familiarity with data visualization tools like Tableau or Power BI is helpful, but not always required.

The lowest salary for a Data Analyst can vary depending on factors like experience, location, and industry. However, as a general rule of thumb, the starting salary for an entry-level Data Analyst can range from around ₹3 to ₹5 lakhs per year in India. Of course, as you gain experience and skills, your salary will increase accordingly. For example, a Data Analyst with 3-5 years of experience can earn between ₹7-10 lakhs per year, while a senior Data Analyst with over 5 years of experience can earn upwards of ₹15 lakhs per year or more.

Here's how to start your Data Analytics journey with Edusoft's in Delhi:

  • Visit the Edusoft's website and navigate to the Data Analytics course page.
  • Review the course curriculum, which covers all the essential topics you mentioned, including data mining, data visualization, machine learning, and statistical modeling.
  • Check the course duration, which is flexible and can be tailored to your schedule.
  • Edusoft's offers certifications that are recognized by industry leaders.
  • The faculty at Edusoft's has extensive industry experience and qualifications.
  • Edusoft's provides placement assistance to its students through partnerships with top companies.
  • Edusoft's offers online and hybrid learning options.
  • Attend one of Edusoft's information sessions to get a better understanding of the course.

Yes! Data analytics is definitely a hot field in 2023, and it's only going to get hotter in the future. Here's why:

  • The increasing amount of data being generated by companies and organizations is driving demand for professionals who can analyze and make sense of that data.
  • Businesses are relying more and more on data-driven decision-making, so they need people who can collect, analyze, and interpret data to provide valuable insights.
  • The rise of AI and machine learning is creating new opportunities for data analysts to work with cutting-edge technologies to solve complex problems.
  • The demand for data analysts is strong across industries, from tech and healthcare to finance and marketing.

So if you're thinking about pursuing a career in data analytics, now is a great time to do it!

Absolutely! Although having prior experience can be helpful, it's not a requirement to land a job in data analytics. Here are some ways freshers can break into the field:

  • Start by building your skills through online courses and bootcamps. This can help you demonstrate your knowledge and commitment to the field.
  • Participate in data analytics competitions and hackathons to build your portfolio and network with industry professionals.
  • Apply for entry-level positions such as data analyst or data scientist, which can serve as a stepping stone to more advanced roles.
  • Look for internships and apprenticeships in data analytics to gain hands-on experience and make industry connections.

The key is to show that you have the curiosity, aptitude, and drive to succeed in data analytics. With the right attitude and skills, freshers can certainly make it in this field.

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