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Data Science

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.

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Introduction to Data Science

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Data Collection and Cleaning

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Data Exploration and Visualization

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Data Manipulation and Analysis

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Machine Learning Basics

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Supervised Learning Algorithms

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Unsupervised Learning Algorithms

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Model Selection and Evaluation

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Natural Language Processing (NLP)

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Time Series Analysis

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What is Data Analyst? - Eligibility, Courses, Scope & Future

Read the article to know about the future of data analytics, eligibility criteria, courses, syllabus, job profiles, and payscale for data analysts. Explore the exciting world of data analysis and its growing opportunities.

DeveLearn Technologies

30 minutes

June 10, 2024

What is Data Analyst? - Eligibility, Courses, Scope & Future

Data analytics is a popular term these days. Simply put, it takes raw data and turns it into useful information. Thinking about a career in data analytics? Read on to learn about the future of data analytics, eligibility, courses, syllabus, job roles, and salaries.

What is Data Analytics?

Data analytics involves examining data sets using software or specialized systems to draw meaningful conclusions. It has become a crucial part of commercial industries today, helping organizations make informed business decisions based on scientific data and research.


Scope and Future of Data Analytics

The field of data analytics is rapidly growing and is essential for businesses looking to improve efficiency, customer service, competitiveness, and revenue. It supports research and development teams in testing scientific models and theories, using historical or real-time data for accurate results.

Ways to Use Data Analytics

Data analytics methods include:

  • Exploratory Data Analysis (EDA): Finds patterns and relationships in data.

  • Confirmatory Data Analysis (CDA): Tests hypotheses about data.

  • Quantitative Data Analysis: Focuses on numerical data.

  • Qualitative Data Analysis: Focuses on non-numerical data.

  • Data Mining: Extracts useful information from large data sets.

  • Predictive Analytics: Uses data to predict future trends.

  • Machine Learning: Employs algorithms to learn from and make predictions based on data.

Importance and Benefits of Data Analytics

Data analytics is vital for:

  • Improving Operational Efficiency: Streamlines processes and reduces costs.

  • Enhancing Customer Service: Personalizes customer experiences and improves satisfaction.

  • Gaining a Competitive Edge: Provides insights that can lead to better business strategies.

  • Increasing Revenue: Identifies new opportunities and optimizes pricing strategies.

Career in Data Analytics

If you’re considering a career in data analytics, here's what you need to know:

  • Eligibility: A background in mathematics, statistics, or computer science is helpful.

  • Courses and Syllabus: Courses cover topics like data mining, statistical analysis, and machine learning.

  • Job Profiles: Common roles include data engineer, data scientist, data architect, database administrator, and data analyst.

  • Payscale: Entry-level salaries start at around INR 4 lakh per year and can increase with experience and expertise.

Data Analytics: Eligibility Criteria

Besides certification or diploma courses, data analytics is also offered at the postgraduate level as a specialization in Computer Science and Management. Aspiring candidates must meet the following criteria:

  • Bachelor’s Degree: Ideally in Statistics, Information Technology, Economics, Computer Science, or Mathematics with at least 60% overall or an equivalent grade point average (CGPA).

  • Professional Experience: A minimum of three to four years of professional experience in data mining is beneficial. This experience helps candidates gain the necessary knowledge and practical expertise in the field.

Required Skills for Data Analytics

To excel in data analytics, professionals need strong analytical and numerical skills. They should also be familiar with various computer software tools such as:

  • Querying Language: SQL, Hive, Pig

  • Scripting Language: Python, Matlab

  • Statistical Language: R, SAS, SPSS

  • Excel: Proficiency in Excel is essential for data analysis tasks.

Additionally, data analytics professionals should have good interpretive and problem-solving abilities. These skills help them explain the data analysis process and interpret its outcomes effectively.

Steps to Become a Data Analyst

  1. Complete Graduation: Obtain a bachelor’s degree in a subject like computer science or mathematics that requires analytical skills and a basic understanding of statistics. This provides a solid foundation for further learning.

  2. Develop Data Analytical Skills: Learn various data analytical skills such as data visualization, SQL databases, data mining and cleaning, and programming languages. These skills are crucial for success in the field.

  3. Certification with Develearn for Data Analysts: Develearn a one of the best Data analyst institute in Mumbai provide data analyst courses in Mumbai with placement support. Our certification program is designed for aspiring data analysts. Whether you choose our online or offline course, you'll receive practical training that provides you with essential data analytical skills, including data visualization, SQL databases, data mining, and programming languages. Upon completing the course, you will receive a certificate that not only validates your skills but also enhances your credibility as a data analyst in the industry.

  4. Internship Experience: Gain practical experience by participating in internships. This provides firsthand knowledge of the field and helps you understand how things work in a real-world environment.

Data Analytics Syllabus

What is Data Analyst? - Eligibility, Courses, Scope & Future

Data Analytics Job Profiles

  1. Data Scientist: Analyzes complex data sets to identify trends, patterns, and insights that drive business decisions.

  2. Data Architect: Designs and builds data systems, including databases and data warehouses, to support data analytics processes.

  3. Data Engineer: Develops and maintains data pipelines, ETL processes, and data infrastructure to ensure reliable data access and analysis.

  4. Data Analyst: Collects, cleans, and analyzes data to extract meaningful information and support decision-making across various business functions.

  5. Statistician: Applies statistical methods to analyze data, conduct experiments, and generate insights for data-driven decision-making.

  6. Database Administrator: Manages databases, ensures data integrity, optimizes database performance, and supports data-related operations within an organization.

Top Companies in Data Analytics

Data analysts are highly sought-after professionals across various industries, including Information Technology, Finance, Insurance, Banking, Marketing & Sales, Consumer Goods, Electronics, and Heavy Industries. Some of the top companies known for their expertise in data analytics include Google, Amazon, Facebook, Microsoft, IBM, Oracle, and Accenture, among others. These companies rely on data analytics to make informed decisions, improve operational efficiency, enhance customer experiences, and drive business growth.

Scope of Data Analysts

Data analytics is pivotal for companies and governmental bodies to collect and analyze data, identifying patterns that contribute significantly to economic development. According to Analytics India Magazine, there is a growing demand for data analytics professionals in India's non-IT sectors, showcasing the widespread adoption of data analytics across industries.

Essential Industries for Data Analytics

  1. IT Sector: Controlling 43% of the data analytics market, leading companies like Tata Consultancy Services, Accenture, Infosys, Cognizant, Wipro, and Capgemini are at the forefront of utilizing data analytics for business insights and growth.

  2. Banking, Financial Services & Insurance (BFSI) Sector: With a market share of 13.9%, the BFSI sector is heavily investing in data analytics to enhance customer experiences, improve risk management, and drive innovation in financial services.

  3. Retail & E-commerce: The retail and e-commerce industries hold a 5.9% market share in data analytics, leveraging data-driven strategies for customer personalization, inventory management, and market analysis. India's e-commerce sector is projected to reach $50 billion, indicating the significant impact of data analytics on business growth and competitiveness.

Data analytics is not just a tool for IT companies but a fundamental driver of success across various sectors, shaping strategic decisions, optimizing operations, and unlocking new opportunities for growth and innovation.

Are you ready to dive into the world of data analytics?

It's never too early to start building your skill set for a career as a data analyst. If you're looking for a comprehensive data analyst course in Mumbai with placement assistance, consider enrolling in the "Data Analytics Certification Course in Mumbai" course offered by Develearn. This course provides a comprehensive overview of the field, covering essential concepts and tools used by data analysts. It's an ideal starting point for beginners looking to understand the fundamentals of data analysis while also offering placement assistance in Mumbai.