Google Rating

Google Reviews

Connect with us for Free Career Counselling


Join Newsletter! đź“°

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.

View Course

Topics to be covered


Introduction to Data Science


Data Collection and Cleaning


Data Exploration and Visualization


Data Manipulation and Analysis


Machine Learning Basics


Supervised Learning Algorithms


Unsupervised Learning Algorithms


Model Selection and Evaluation


Natural Language Processing (NLP)


Time Series Analysis

Develearn SocialDevelearn SocialDevelearn SocialDevelearn SocialDevelearn Social

Data Analyst Course Near Me, Mumbai

Are you looking for a data analyst course near you in Mumbai? If you're struggling to find the perfect fit, look no further. Contact us today!

DeveLearn Technologies

30 minutes

March 8, 2024

An annoyed cat

Are you looking for the perfect data analyst course in Mumbai? If you're having trouble finding the right one, we have the solution. Check out our Data Analytics certification course in Mumbai. Our hands-on curriculum is designed to give you the key skills and knowledge you need to succeed. Work on real-world projects and build a strong portfolio to impress employers and make your mark in the competitive IT field. Start your journey to a successful career in data analytics with us.

What is Data Analytics?

Data analytics involves tools, techniques, and methods for collecting, organizing, storing, and analyzing data. The main goal is to apply statistical analysis and technology to identify trends and solve problems. Data analytics also helps companies quickly respond to changing market trends and gain an edge over competitors. The ultimate aim of data analytics is to enhance business performance.

Who is a Data Analyst?

A data analyst helps stakeholders understand data and use it to make strategic business decisions. They act as the gatekeeper for the organization’s data.

Here are some typical tasks and responsibilities for a data analyst:

  • Use data visualization software to oversee customer satisfaction surveys and report on the results.

  • Collaborate with business line owners to develop requirements, provide success criteria, manage analytical projects, and evaluate outcomes.

  • Monitor processes, systems, and practices to identify areas for improvement.

  • Engage with stakeholders, business units, technical teams, and support teams to define concepts and assess needs and functional requirements.

  • Convert key questions into specific analytical tasks.

  • Gather new data to address client inquiries and compile information from various sources.

  • Use reports and interactive dashboards to apply analytical techniques and tools, delivering new insights to clients.

  • Transform data and concepts into visualizations.

  • Work with data scientists to identify the best product solutions.

  • Create, test, and maintain backend code.

  • Develop data procedures, define data quality standards, and implement data quality processes.

  • Manage the codebase and suggest improvements and refactoring.

  • Create tools and models for data validation to ensure accurate data capture.

  • Collaborate to assess and analyze key data that will influence future business plans.

How to Become a Data Analyst?

Data analysts work in various industries, including:

  • Banking

  • Real Estate

  • Agriculture

  • Health Care

  • Information Technology (IT)

There are several paths to becoming a data analyst. The most common way is to get professional certification through courses, self-learning, or by obtaining a degree or diploma in Data Analytics. 

A data analyst's job involves handling data throughout the data analysis process, which includes data mining, statistical analysis, and data presentation. They work with different combinations of data analysis techniques to achieve specific outcomes.

Top Data Analyst Courses in Mumbai

When searching for the right course, consider the following criteria:

  • Level of the course: Degree, Diploma, Short-term Certification

  • Duration of the course

  • Cost of the course

  • Mode: Online or Offline

  • Pace of the course

  • Location

Data Analytics Courses in Mumbai

Often, finding a job immediately after finishing an undergraduate or graduate course can be challenging. This is usually due to a lack of exposure to a real-world, professional environment. While full-time schools teach the relevant theories and concepts well, they sometimes fall short in providing practical business insights and in-demand skills. To address this gap, many organizations and online platforms in India offer data analyst training with placement assistance.

Learning Options

  • Online Courses: Platforms like Coursera and Udemy offer courses that teach the fundamentals of data analytics.

  • Certifications: Students can earn globally recognized data analytics certifications, covering essential tools and programming languages such as big data, Python, and machine learning.

Data Analytics Course Fees in Mumbai

The fees for Data Analytics courses in Mumbai vary depending on the type of course you choose. Here's an approximate breakdown:

  • Online Certification level: INR 500 – 10,000

  • Diploma level: INR 9,300 – 2,00,000

  • Undergraduate level: INR 90,000 – 21,00,000

  • Postgraduate level: INR 20,000 – 23,00,000

Please note that these are general ranges, and actual fees may vary based on factors such as the institute, course duration, and additional features or resources included in the course.

Data Analytics Course Fees: Online vs. Offline

The course fees for Data Analytics in Mumbai based on several factors, such as course duration, unique features provided by each institute, and post-course assistance. Both online and offline data analyst institutes offer quality coaching, so the syllabus itself may not significantly impact the difference in fees among institutes.

However, factors like practical projects, access to learning portals, notes, slides, and study materials can play a significant role in determining the variance in data analytics course fees. Data analyst online courses may have lower fees due to reduced infrastructure costs, while offline courses may offer hands-on experiences that justify their higher fees.

Best Data Analyst Courses in Mumbai

Are you ready to take your career to the next level in the dynamic field of Data Analytics? Look no further than Develearn, the leading data analyst institute in Mumbai, which offers data analyst course in Mumbai with placement support. Our program is designed to provide you with the latest skills and knowledge needed to thrive in the fast-paced world of data analysis.

Why Choose Develearn?

  1. Expert Guidance: Learn from industry experts who have real-world experience in data analytics. Our instructors are dedicated to helping you succeed.

  2. Hands-on Experience: Get hands-on experience with practical projects that simulate real-world scenarios. Gain valuable insights into data analysis techniques used in today's top companies.

  3. Comprehensive Curriculum: Our curriculum covers everything from data mining and statistical analysis to data visualization and machine learning. You'll graduate with a well-rounded skill set that employers are looking for.

  4. Flexible Learning Options: Choose between data analyst online and offline courses in Mumbai to fit your schedule and learning preferences. Our flexible options ensure that you can learn at your own pace.

  5. Career Support: Benefit from our career support services, including resume building, interview preparation, and job placement assistance. We're committed to helping you land your dream job in data analytics.

Our Course Curriculum

Begin an exciting journey with our best data analyst course in Mumbai, designed to provide essential skills for the dynamic field of data analytics. This hybrid program offers flexibility with both online and offline learning options, ensuring accessibility for all. Our curriculum covers a range of topics, including:

  1. Advanced Excel

    • Formulas and Functions

    • Pivot tables and charts

    • Data Analysis Tools

    • Power Query and Power Pivot

    • Advanced Charting and Visualization

    • Macros and VBA

    • Reporting and Dashboards

  2. Python

    • Python Programming Language

    • Data Manipulation Libraries (Pandas)

    • Data Visualization Libraries (Matplotlib, Seaborn)

    • Jupyter Notebooks

    • Data Cleaning and Preprocessing

    • Statistical Analysis

    • Web Scraping

    • NumPy for numerical computations

  3. SQL

    • SQL Basics

    • Data Manipulation and Aggregation

    • Data Joins and Relationships

    • Subqueries and Derived Tables

    • Window Functions for analytical insights

    • Time Series Analysis

    • Pivoting and Unpivoting Data

    • Data Visualization with SQL

  4. Tableau/Power BI

    • Data Connection and Data Source

    • Data Transformation and Data Modeling

    • Data Visualization Basics

    • Creating Interactive Dashboards

    • Advanced Visualizations

    • Time Series Analysis

    • Level of Detail (LOD) Expressions

Data Analyst Certificate

Upon completion of our Data Analyst Course in Mumbai, you will earn the prestigious Develearn Certificate, validating your practical skills and understanding in data analysis. This certificate signifies your hands-on expertise and knowledge of essential data analysis concepts, tools, and methods.

Eligibility for Applying to the Data Analytics Course in Mumbai

Our Data Analytics course in Mumbai is open to a wide range of professionals and individuals interested in advancing their skills in data analysis. Eligible candidates include:

  1. Non-IT Professionals: Individuals working in sectors such as banking, HR, marketing, sales, and other non-IT fields can benefit from our Data Analytics course. This program is designed to help non-IT professionals leverage data for strategic decision-making and business growth.

  2. BI Professionals: Business Intelligence (BI) professionals looking to enhance their data analysis skills and explore advanced techniques in data visualization, statistical analysis, and predictive modeling are encouraged to apply.

  3. Data Analytics Professionals: Experienced data analysts seeking to update their knowledge with the latest tools, technologies, and best practices in data analytics will find our course valuable for their career growth.

  4. Project Managers: Project managers involved in data-driven projects can gain insights into data management, interpretation, and communication strategies through our Data Analytics course.

  5. Software Developers: Software developers interested in transitioning to data analysis roles or improving their understanding of data manipulation, scripting, and data-driven decision-making can benefit from this program.

  6. Information Architects: Information architects looking to deepen their understanding of data architecture, data modeling, and information management principles can expand their skills with our Data Analytics course.

  7. Undergraduates and Freshers: Undergraduates and freshers with a passion for data analysis and a desire to enter the field of data analytics are welcome to apply. Our course provides a strong foundation in data analytics concepts and practical skills.

Prerequisites for Data Analytics Courses

There are no specific prerequisites for participating in our Data Analytics training in Mumbai. However, having the following skill sets can enhance your learning experience and success in the course:

  1. Analytical Skills: Strong analytical skills are essential for data analysts. The ability to analyze data, identify patterns, and draw meaningful insights is a fundamental aspect of data analytics.

  2. Good Problem-Solving and Critical Thinking Abilities: Data analysts often encounter complex problems that require critical thinking and creative problem-solving skills. Having a knack for solving problems efficiently and effectively is beneficial in the field of data analytics.

  3. Communication Skills: Effective communication is crucial for data analysts to convey insights, findings, and recommendations to stakeholders. Strong communication skills, both written and verbal, facilitate clear and concise data storytelling.

While these skills are highly appreciated, they are not mandatory prerequisites for applying to our data analytics courses in Mumbai. We welcome individuals with diverse backgrounds and experiences, providing comprehensive training to develop and enhance these skills throughout the course.