Data Analytics Courses

Learn Data Analytics Course and get a Data Analytics Certification from TOPS Technologies with Job Opportunities

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Get Certified with Our Data Analytics Training!

The demand for Data Analytics has increased by a whopping 300% in the past decade, with over 2 million people working in this field globally. The need for Data Analytics is growing due to the rise of machine learning and AI, which is changing the way we work.

Data is the future. Many businesses and retailers are trying to examine user patterns and behavior. Data Analytics has become an essential skill for companies because it helps them understand their consumers better and create a better product or service for them.

What is Data Analytics?

Data Analytics is a new field born out of the digital revolution. It is a broad term that encompasses many different types of activities. It is the process of extracting knowledge from data in order to make better decisions. It has been transforming marketing, advertising, and businesses for good.

In order to understand what consumers want and how they behave, as well as to forecast future events so that organizations may make plans, Data Analytics can be used to find trends and patterns in data.

Data analysis can be done manually or with the help of software tools like data mining. Data mining tools help to find patterns in large volumes of data to make predictions about the future.

As the demand for these professionals grows, the need for quality education also increases. TOPS Technologies offers the best Data Analytics Courses for students and professionals who want to learn the skills they need to work as data analysts. 

Data Analytics has become a critical skill in the workplace today. This course will give you the tools and skills you need to make data-driven decisions in your career.

The Data Analytics Course Syllabus is designed to give you an overview of the steps involved in performing data analysis, as well as how to clean and organise your data for analysis. You'll also learn how to perform calculations independently.

This Data Analytics Certification Course will teach you how to analyze and present data in a way that is easy for everyone to understand. It includes practical examples of how to use dashboards, presentations, and visualization platforms.

By the end of Data Analytics Training with TOPS Technologies, you will be able to create statistical visualizations that show business trends or provide actionable insights for decision-making.

Companies thrive to utilize data in a highly competitive market and track the customer journey from how they get familiar with the product to making a purchase decision. Data analysts help businesses to understand trends and identify strategies to drive conversions. Data Analytics is the key to predictive analysis that creates engagement and also helps marketers to roll out remarketing campaigns for targeted users that optimize team efforts. It gives businesses some actionable information to operate efficiently and yield targeted results.

The benefits of Data Analytics are clear - it helps companies to create better products and services by understanding their customers better and finding new growth opportunities.

The Benefits of Data Analytics

Data Analytics has become a crucial part of the business landscape. With the emergence of big data, businesses have been able to find more opportunities to improve their performance and revenue.

As a result, they are now looking for ways to leverage Data Analytics in their marketing strategies. The benefits are as follows:
Data-Driven Decision-Making

Data Analytics is the practice of using data to understand, predict, and optimise business decisions. Using it helps organisations to make better-informed decisions that can lead to increased revenue and reduced costs.

It is not just limited to businesses; government organisations are also using it to enhance their decision-making processes. They use Data Analytics to understand how their policies have impacted society, create better programs and policies, etc.
Improved Customer Experience

The goal of Data Analytics is to create a positive customer experience by identifying patterns to predict future behavior. These patterns can be used to offer personalized experiences based on what has been learned about the customer's needs or wants.

It helps companies identify opportunities for growth and how they can optimize their business processes. It also allows companies to understand their customers better so that they can create more personalized experiences for them.
Better Quality Products Delivered Faster

The data that we collect from our customers enables us to provide them with a better product or service. Companies use Data Analytics and machine learning tools to analyze customer behaviour, which helps them decide which products and services are most likely to succeed.

Through Data Analytics, businesses can find out what their customers want and what their customers need to improve the quality of their products or services. This helps them create a better customer experience by delivering products/services faster.
Increased Productivity, Efficiency, and Effectiveness

Data Analytics has been one of the most effective digital marketing strategies for businesses since its inception. It has helped organizations to increase their productivity, efficiency, and effectiveness.

Data Analytics helps companies to make better decisions by providing them with insights from their data. Data analysts use this information to create reports that help companies identify problems before they happen. They also provide recommendations on how to solve these problems and improve performance.
More Accurate Forecasts

The use of Data Analytics has become widespread in recent years due to its usefulness in decision-making processes and forecasting markets. Companies are using Data Analytics tools to predict customer behavior, analyze customer needs, and forecast future market trends.

It offers more accurate forecasts with less guesswork. This is because the Data Analytics tool can provide a detailed market analysis and help businesses make more informed decisions about their business.

Industries That Benefit From Data Analytics

With the increasing amount of data available, it is getting harder for businesses to stay ahead of their competitors. Data Analytics helps them understand their customers better and provides them with insights on how they can improve the customer experience.
Data Analytics has been widely used in industries such as:

  • Finance and Banking
  • Automotive
  • Retail
  • Media and Entertainment
  • Education
  • Manufacturing and Production
  • Telecommunications
  • Insurance
  • Healthcare
TOPS Technologies is a top-ranked IT Training company that offers Data Analytics Certification Courses. These courses are designed to help individuals learn how to analyze data and create powerful insights using various tools and technologies. Learn Data Analytics Courses at TOPS Technologies to get placed and start working with big brands.


Significant Professions Related to Data Analytics and Salary Information

Data Analytics has been a hot career field in recent years. With the rise of big data, there has been a demand for people with skills in Data Analytics. Here are the top job roles related to this field:

Data Analyst

Data Analyst Jobs are becoming one of the most sought-after jobs in the workforce. Data analysts collect, organize, and analyze data from various sources. They are the ones who help to make sure that the data is clean and accurate. They have various skill sets that can be used in various industries. They can use their skills to build predictive models or develop algorithms that help in business decisions.

It is now possible to automate tasks once performed by human analysts or require less time than they used to take. With machine learning, data analysts can focus on their core competencies - interpreting complex datasets and analyzing trends in the data. The salaries can go up to Rs. 12 lakhs per annum depending on experience and skill set.

Data Scientist

Data scientists are the new breed of professionals who use data to make decisions and solve problems. They are the ones who take the data that is collected from various sources and transform it into something useful.

Data scientists are responsible for creating models, algorithms, and statistical procedures that can be used to predict future outcomes or understand patterns in data. The role of a Data Scientist is not only limited to working with data but also includes creating visualizations that help communicate information to others. Data Scientist Salary in India varies from company to company but generally goes up to Rs. 20 lakhs per year.

Business Intelligence Specialist

A business intelligence specialist is someone who helps in the analysis of data and tools. They are the ones who make sure that the data is being collected, processed, and analyzed for their company.

This job may seem easy at first, but finding an expert in this field can be pretty difficult. It requires a lot of knowledge and experience because they need to understand how to analyze information effectively and ensure that they are not missing any critical pieces of data. Business intelligence specialists are in demand in India, and the salary for this profession goes up to Rs. 13.5 lakhs.

Data Engineer

Data engineers are responsible for the design, implementation, and management of data-driven products and services. They are often called upon to manage the data pipeline from raw source data to highly refined information for use by end users.

Data engineers work with complex systems that require various skill sets, including statistical analysis, machine learning, software development, database design and engineering, application architecture, and security. They work with the data and algorithms to find patterns and trends that help businesses make better decisions. The average salary of a Data Engineer in India is up to Rs. 21 lakhs per annum.

Marketing Analyst

A marketing analyst is a person who has the skills to evaluate, analyze and interpret data related to marketing. They are also responsible for advising on how best to approach different marketing campaigns.

The job description of a marketing analyst varies depending on the type of company they are working for. Some examples include companies in the finance industry, pharmaceuticals, and technology sectors. The key role of the marketing analyst is to provide insights into improving the company’s marketing strategy. The salary for the role of Marketing Analyst goes up to Rs. 13.5 lakhs per annum, depending on an individual's experience and location.

There are many different types of Data Analyst Jobs available, including those in IT consulting firms, software development companies, banks and finance companies, healthcare organizations, marketing agencies, advertising firms, and more. 

The Data Analytics Courses With Placement aims at providing a step-by-step approach towards becoming a data analyst or a Data Scientist or any job role you desire in this field. It also helps in building your career in the field of analytics, as well as helping you understand what it takes to become one.

Why Choose Data Analytics Course?

Most Business to Consumer applications (B2C) communications involve data collection from customers, the market economy and internal processes. Data Analytics helps to process the collected data tailored to a specific set of requirements and give life to mere numbers. Most eCommerce companies like Amazon, Flipkart, Bookmyshow, etc., use data analysis extensively for higher conversions.

What to Expect from the Best Data Analytics Courses at TOPS?

Data Analytics is one of the top-most-in-demand skills in the market. Hence, it is important to invest in the best Data Analytics courses that offer relevant Data Analytics training and certification. With industry-approved certificates, students would be able to get a job easily.

  • The Top Data Analytics Course is more than a certificate. It's a pathway to success! 
  • Test your skills, complete a challenging course and receive a top-notch certificate.
  • Trainers with proven experience in their career fields.
  • The best balance of theory and practicals to prepare you for the real world.
  • Career guidance to help you find a job or get promoted.
  • Placement opportunities to land your dream job right away.

Who can Enroll in Our Data Analytics Certification Courses?

The TOPS Data Analytics Course for Beginners will introduce you to the world of data analytics and big data. Our course is designed for beginners with little or no knowledge of data analytics.

The course is open to all who want to learn the skills and techniques of data analytics, whether they are just starting out with the basics or are a data analyst looking for a new challenge.

Anyone with a passion for data analytics and a desire to learn how to use the tools can enroll in our course. This course is designed for beginners who want to learn how to use data analytics tools and techniques. Students will use real-world case studies, hands-on exercises, and lectures from industry experts as they go through the course.

Assured Job with Data Analytics Course

Data Analytics course at TOPS Technologies help meets in-demand jobs in the market. Learn practicals of Data Analytics to gain skills like predictive analytics, collecting, processing, analyzing, and describing the data. Get acquainted with the entire Data Analytics process right from getting the insights to role and industry overview to systemized approach used by professionals in Data Analytics. We provide the best data analytics courses in Ahmedabad, Surat, Vadodara, Rajkot, and Nagpur with live projects and 100% placement assistance.

For any queries related to the Data Analytics course, check out your nearest center or email us on Reach out to us by calling us at +91 – 7622011173 for a free demo.

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Course Curriculum

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  • Relational Databases
  • Primary Key and Foreign Key
  • Joins
  • Creating SQL Select Queries
  • Working with Null and Data Types
  • Using JOIN To Query Multiple Tables
  • Operators and Functions
  • Data Aggregations
  • Using Table Expressions
  • Pivot Data and Grouping sets
  • Data Modifications
  • Programming with SQL
  • Error Handling and Exceptional Handling

  • Creating and Filtering Tables
  • Calculations to existing data in Tables
  • Pivot table and charts
  • Aggregation Data with Pivot tables

  • Overview of Data Analytics
  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Types of Data

  • Getting started with Python
  • Core Python Programming
  • Collections in Python
  • Functions
  • Python Packages and Modules

  • Data Normalization in Python
  • Data Binding with Python
  • Data Formatting with Python
  • Data Analytics with Python
  • Model Development and Customization
  • Data Analysis
  • Correlation and GroupBy

  • Project Case Study
  • Ecommerce Purchase Predections
  • Insurance Policy Quote Predections

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Student Reviews


Data Analytics Course is the most sought-after course in India. It is an advanced course that provides skills and knowledge to build data analytics solutions for various organisations.

The Data Analytics Course fees depend on the institute, duration of the course and location. The cost of Data Analytics courses varies across institutes. Some institutes charge a nominal fee for their courses, while others charge more for a full-time course. 

Data Analytics Live Project Training at TOPS Technologies is a data analytics training course that will provide you with the skills and knowledge you need to become a data analyst.

TOPS Technologies is a leading provider of Data Analytics Training programs in India. Data Analytics Training programs are designed by industry experts and focus on practical applications, hands-on learning and industry-relevant case studies.

This is a common question that is asked at various job portals - Data Analyst Jobs in India. We provide the right career opportunities for aspiring data analysts who want to work in India. Here are some of the tips for getting Data Analyst jobs in India:

- Get an internship with a company that has an analytics team or use your skillset from your previous jobs or school projects.

- Join a community of data analysts on LinkedIn. You can also start your own community on Quora if you have the skillset and time.

- Get certified by industry bodies like TOPS’ Data Analytics Certification Courses

- Start building up your portfolio by joining online communities that focus on data analysis or related topics.

- Network with potential employers to get job offers for a data analyst position

- Always ask for more information about the company - ask about their analytics team, how many years of experience they have had and what other skills they need from a data analyst

TOPS offers a Data Analytics course with placement. This course is designed to equip students with the skills necessary for a career in Data Analytics.

This Data Analytics Course with Placement allows students to learn about data analytics and its various uses in different industries. The course also provides training on how to build predictive models, create dashboards, and conduct data analysis using SQL.

TOPS offers placement assistance for students who are interested in pursuing a career in data analytics. TOPS has a team of experienced placement experts who help students find their dream job after they complete the course.

Data scientist salary in India is one of the most sought-after topics. It is a very lucrative career option that promises to take you to the top of your career ladder. Data scientists are paid well in India, and the demand for data scientists will only increase in the coming years.

The average annual salary of a data scientist ranges up to Rs 20 lakhs per year, depending on their experience and skill set. If you are looking for a job as a data scientist, it’s important that you know what companies are offering what salaries so that you can negotiate your salary accordingly.

Data Analytics Interview Preparation for Freshers is one of the most popular services offered by TOPS Technologies. We at TOPS Technologies offer Data Analytics Interview Preparation for Freshers. We have a team of experts who are well-versed with the latest technologies and tools in the industry. They will help you prepare for your interview by providing mock interviews and more.

TOPS Technologies offers Data Analytics Interview Preparation for Freshers with a unique approach. The company helps freshers to prepare for their interviews by providing them with a mock interview which includes a live interview and an opportunity to practise answering questions from organisations.

Data analytics has become popular in recent years and is now a sought-after skill. The skills needed for data analytics job roles are varied and include both technical and non-technical skills. 

Non-technical skills include analytical thinking, creativity, problem-solving, leadership, interpersonal communication, teamwork and customer service. 

Technical skills required are statistical analysis techniques like linear regression or Bayesian analysis methods. Other technical skills would be programming languages like Python or R, which are used to extract insights from datasets with predictive models like machine learning algorithms or deep learning networks.

Interview Questions

Analysing raw data to glean information and meaningful insights is the process of data analytics. Data must be cleaned, transformed, and modelled to detect patterns and trends. These findings must then be interpreted to make wise judgments. Data analytics is becoming increasingly crucial for companies, organisations, and governments to obtain a competitive advantage in the digital era. Using data, they may improve customer experience, make better decisions, optimise operations, and find new business opportunities. Additionally, data analytics can assist them in risk mitigation, trend prediction, and performance enhancement. In summary, data analytics is vital for businesses to accomplish their objectives, dominate their industry, and spur innovation.

There are four main types of data analytics: descriptive, diagnostic, predictive, and prescriptive analytics. Descriptive analytics is the most basic type, which describes past events and helps to understand what happened and why. Diagnostic analytics is the next level, which goes beyond descriptive analytics and provides insights into why something happened and what can be done about it. Predictive analytics uses statistical techniques and machine learning algorithms to predict future outcomes and trends. Finally, prescriptive analytics is the most advanced type, predicting future outcomes and providing action recommendations. Every kind of analytics serves a specific purpose and helps organisations gain insights and make better decisions.

Descriptive analytics is the most basic type, which uses historical data to provide insights into past events and answer questions like "What happened?". Diagnostic analytics extends further descriptive analytics to assist in determining the causes of events and what can be done to prevent them in the future. Predictive analytics analyses past data and forecasts future trends and events using statistical methods and machine learning algorithms. The most sophisticated analytics is prescriptive analytics, which forecasts future results and offers suggestions for achieving the desired result. In conclusion, descriptive analytics concentrates on previous events, diagnostic analytics concentrates on figuring out why something occurred, predictive analytics concentrates on projecting future events, and prescriptive analytics concentrates on advising actions to achieve a desired result.

Data mining is extracting useful information and insights from large volumes of data, enabling organisations to identify patterns, correlations, and anomalies in their data. Data mining techniques include clustering, association analysis, and regression analysis. These techniques help organisations better understand their data and inform business decisions and strategies. Data mining is particularly relevant in data analytics because it allows organisations to uncover insights that would be difficult or impossible to identify through manual analysis.

Data analytics refers to analysing data to gain insights and inform decision-making. It involves examining data from various sources, such as customer interactions, financial transactions, and social media. Big data analytics, conversely, refers explicitly to analysing large volumes of complex and diverse data sets, known as big data. Big data analytics often uses advanced tools and techniques like machine learning and artificial intelligence. Big data analytics aims to identify patterns and trends in large data sets that would be impossible to identify using traditional analytics methods.

Univariate Analysis: It involves analysing only one variable at a time without considering any other factors. For instance, calculating frequency distributions, mean, median mode etc., for age groups would be an example of Univariate Analysis.

Bivariate Analysis: This deals with studying relationships between two different variables simultaneously using tools like Scatter plots, Correlation Coefficient( r ) etc., e.g. the correlation between height & weight 

Multivariable Analysis - Here, more than 2 independent variables are considered simultaneously when making predictions about an outcome, such as the regression model, which considers multiple predictors, e.g. predicting house prices based on location, size,number_of_bedrooms etc.

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