Advance Data Analytics Course Training

Get Trained for Advance Data Analytics Course 

  • Master Advance data analytics course skills with Excel, SQL, Tableau, Power BI, and Python and much more, starting from scratch.
  • Build your portfolio by working on real-world business projects and showcase your skills in career CV/Resume. 
  • Get Job Assistance support and ongoing guidance after course completion to ensure your success in the industry. 
Next Batch Starts

18 APRIL 2024

Enroll to this program to upskill you career growth

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🔥🔥 Start (OR) Switch your career into Data Analyst to get 20 LPA 🔥🔥

Key Features

Learn analyst skills from iNeuBytes "Advance Data Analytics Course" program which features key tools with Excel, SQL, Tableau, Power BI, and Python.

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One Month Course + Virtual Internship

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Live Online Instructor Led Training

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Q&A Expert Mentorship Support

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100% Job Assistance

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Certificate of Completion

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24*7 Doubt Clearing Support

Why Advance Data Analytics Course in 2024?

As we navigate through the information era in 2024, the demand for advanced data analytics professionals course continues to surge across all industries. Businesses, now more than ever, are harnessing the power of data to generate actionable insights, make informed decisions, and drive their growth trajectory. According to PayScale, as of 2024, the average salary for a Data Analyst in the United States stands at $74,813 per year, and in India, it is approximately INR 6 LPA per year, indicating the significant return on investment this skillset can offer.

  • By taking the course, you can learn four important tools of data analytics from beginner to advance level. 
  • You can build your portfolio by working on real-world business projects and gain practical experience.
  • Get Job Assistance support and ongoing guidance after course completion to ensure your success in the industry. 
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Why enroll for Advance Data Analytics for Training?

With a growing demand for data analysis and management across sectors, upskilling skills for today's job market is very important.

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By upskilling in Advanced Data Analytics, professionals can secure rewarding careers and play pivotal roles in data-driven decision-making.

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Advanced Data Analytics Course, is useful for complex tasks like predictive analysis and risk management, preferred by top MNC's like Microsoft, Amazon, and Deloitte.

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In India, the average salary for Advanced Data Analytics professionals ranges from INR 300,000 to INR 1500,000 per annum, with an average of INR 600,000 per annum.

How does it work?

Navigating the field of data analytics opens up a wealth of opportunities with some of the world's top companies. Join iNeuBytes Advance Data analytics Course today!

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Annual Avg. Salary

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Top Hiring Companies

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Annual Avg. Salary

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Top Hiring Companies

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Annual Avg. Salary

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Top Hiring Companies

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Advance Data Analytics Course Curriculum

Elevate your data analysis skills with our modules and unlock new career opportunities.

Learning Outcomes

  • Gain an understanding of the role, significance, and application of data analytics in various industries.
  • Learn about the key skills required for data analysts, such as critical thinking, programming skills, and business acumen.
  • Get familiar with the potential career paths and opportunities in the field of data analytics.
  • Develop a solid understanding of the ethical considerations in data analytics and the importance of data privacy.

Topics Covered

  • In Module 1,the introduction to Data Analytics covers a comprehensive understanding of data analytics and its significance in today's data-driven world. This module delves into the key skills required for data analysts, including technical, statistical, and analytical capabilities. It provides insights into diverse career opportunities in data analytics, offering a roadmap to aspirants. The module also discusses the necessity of setting personal learning goals and devising a learning path. It highlights the ethical considerations inherent in dealing with data, emphasizing data privacy and security. The module concludes with an overview of the data analytics tools and technologies prevalent in the industry and emphasizes the importance of data visualization and effective communication of insights to stakeholders. Download Curriculum to Know the topics clearly.

Learning Outcomes

  • Become proficient in using Excel for data cleaning, manipulation, and analysis.
  • Master the use of formulas, functions, and pivot tables to analyze complex datasets.
  • Develop a comprehensive understanding of advanced Excel techniques for data analysis.
  • Learn how to visualize data and communicate insights effectively using Excel.

Topics Covered

  • The Module 2 - Excel and Data Preparation introduces learners to the use of Excel for data analysis. It focuses on data cleaning and preparation techniques in Excel, fundamental for data analysis. The module teaches how to analyze data using various formulas and functions within Excel and explains the utility of pivot tables and data visualization features within the application. The module wraps up with a dive into advanced Excel techniques that offer a more profound exploration of data. Download Curriculum to Know the topics clearly.

Learning Outcomes

  • Understand the basics of SQL and relational databases and become proficient in writing SQL queries.
  • Learn advanced SQL techniques, including joins, aggregations, and data cleaning/validation.
  • Become familiar with concepts like indexing and performance optimization in SQL.
  • Gain hands-on experience with SQL to retrieve, manipulate, and analyze data from databases.

Topics Covered

  • The Module 3 - SQL and Data Retrieval provides a basic understanding of SQL and relational databases, key tools for a data analyst. Learners get to write SQL queries, and understand how to retrieve and filter data. The module extends to advanced SQL query techniques, including the use of joins and aggregations. It further details data cleaning and validation using SQL and touches upon indexing and performance optimization in SQL databases. Download Curriculum to Know the topics clearly.

Learning Outcomes

  • Understand the principles of data visualization and become proficient in using Tableau.
  • Learn how to connect, prepare, and analyze data using Tableau.
  • Master the creation of interactive dashboards and visualizations in Tableau.
  • Understand best practices in dashboard design and gain expertise in advanced data analysis techniques using Tableau.

Topics Covered

  • In Module 4 - Data Visualization with Tableau introduces Tableau as a leading data visualization tool. It discusses connecting and preparing data for use in Tableau and walks learners through the creation of interactive visualizations and dashboards. The module dives into advanced techniques for data analysis within the Tableau interface. Finally, the module brings together dashboard design principles and best practices to guide the creation of visually engaging and informative data presentations. Download Curriculum to Know the topics clearly.

Learning Outcomes

  • Become familiar with the concept of business intelligence and master the use of Power BI for data cleansing, transformation, and analysis.
  • Learn to create interactive visualizations and reports in Power BI.
  • Understand the application of advanced analytics and machine learning in Power BI.
  • Gain a deep understanding of the role of Power BI in data-driven decision-making and how it can be used for sales and marketing analytics.

Topics Covered

  • This module 5 - Data Analysis with Power BI begins with an introduction to Power BI and its role in business intelligence. The module teaches data cleansing and transformation techniques within Power BI and then focuses on data modeling and DAX functions. It leads to interactive visualization and reporting features within the tool. Advanced analytics and machine learning capabilities within Power BI are also discussed. The module highlights the use of Power BI for business analysis, key metrics, and KPIs, and data-driven decision-making. Furthermore, it elaborates on how Power BI can be used for sales and marketing analytics. Download Curriculum to Know the topics clearly.

Learning Outcomes

  • Gain a comprehensive understanding of Python as a tool for data analysis.
  • Learn to manipulate and analyze data using pandas, a popular Python library.
  • Develop skills in exploratory data analysis and data visualization using Python libraries like Matplotlib and Seaborn.
  • Master the concepts and techniques of statistical analysis and hypothesis testing using Python.

Topics Covered

  • Module 6 -  Data Analysis with Python introduces Python as a versatile language for data analysis. Performing Exploratory Data Analysis (EDA) using Python is a significant part of this module. It also incorporates data visualization using Matplotlib and Seaborn, two essential libraries in Python. Finally, the module wraps up with a detailed look at statistical analysis and hypothesis testing using Python, vital skills for any data analyst. Download Curriculum to Know the topics clearly.

Learning Outcomes

  • Apply the skills and knowledge acquired from the course in a practical work setting.
  • Gain experience working on real data analytics projects.
  • Develop professional skills such as teamwork, communication, and problem-solving.
  • Receive feedback on performance and areas of improvement.
  • Understand the challenges and dynamics of working in a data analytics role.

Topics Covered

  • In the final module, learners will undertake a one-month virtual internship to apply the skills and knowledge they have acquired. They will gain practical experience and receive feedback on their work, which is vital in transitioning from classroom learning to real-world application. This hands-on experience will help them understand and navigate the challenges of working as a data analyst. 

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Instructor-led Advance Certification in Data Analysis Live Online Training Schedule

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Instructor-led Advance Certification in Data Analysis Live Online Training Schedule

Flexible batches for you

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For 100% Job Guarantee Advance Data Analytics Program

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Skills Covered

With its impressive array of Skills, data analytics provides valuable insights from data, drive decision-making, and bolster business success.

Data comprehension

Analytical skills

Excel proficiency

Data preparation

Data visualization

SQL proficiency

Data retrieval

Database management

Tableau proficiency

Interactive visualizations

Advanced data analysis

Power BI proficiency

Business intelligence

Machine learning

Decision-making

Data manipulation

Exploratory analysis

Statistical analysis

Tools Covered

Unlock the full potential of your data with Analytics! Its powerful and intuitive tools will leave you amazed at how much you can achieve.

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Advance Data Analytics Projects

Projects provide practical application of learned skills, enhancing understanding and retention. Here are some sample projects: 

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Practice Essential Tools

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Designed By Industry Experts

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Get Real-world Experience

  ineubytes Other Coaching Institutes
Teaching Methodology Live Online Comprehensive, interactive sessions, practical examples, hands-on exercises Mix of theoretical lectures and practical exercises with pre-recorded classes
Course Content Designed by Industrial Specialists based on Top MNC Recruitment Standards Not based on Recruitment standards
Trainers Alumni of IIT & Top MNCs such as Infosys, IBM and also had Ph.D Experience Limited Experience
Student Support Dedicated support through online forums, Q&A sessions, personalized guidance Support availability may vary
Flexibility and Convenience Flexible course schedules, online learning options Limited fixed schedules, differing online learning options
Learning Resources Access to a variety of learning materials, such as e-books, practice exercises, and video tutorials Limited Availability and quality of learning resources 
Success Rate Track 1500+ record of student success, testimonials, and alumni achievements Success rates may vary and depend on various factors
Feedback and Reviews Positive student feedback and reviews on the website Reviews and feedback may differ among coaching centers
Soft-skills Training
Portfolio Preparation
Resume Preparation
Mock Interviews
Personal Branding

iNeubytes alumni work at reputed tech organizations and promising startups

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Have a Doubt?

Frequently Asked Question

The Advanced Data Analytics course teaches the skills required to analyze, interpret and visualize complex data sets using tools such as Excel, SQL, Tableau, Power BI, and Python.

Advanced Data Analytics is crucial in 2024 for data-driven decision making in businesses. It offers numerous career opportunities in various sectors like technology, finance, and healthcare.

Anyone interested in data analytics can enroll. Basic knowledge of mathematics, statistics, and programming language can be beneficial, along with curiosity and problem-solving skills.

The course aims to equip learners with data analytics concepts and practical skills. Upon completion, learners will be able to analyze, visualize, and interpret data, and use these insights for strategic decision-making.

No Pre-requisites is mandatory for the Advance Data Analytics as it is designed for both beginners and advanced learners.

The Data Analytics Internship offered by iNeuBytes is entirely virtual. This flexible format allows you to gain valuable hands-on experience in data analytics from the comfort of your own home, eliminating geographical constraints and providing a global learning experience.

The comprehensive Data Analytics program offered by iNeuBytes spans a total of 3 months, with integrated a one-month virtual data analytics internship within this timeframe. This inclusive design ensures you receive both intensive instruction and practical experience within a single, streamlined curriculum.

Yes, completing the virtual internship is a crucial part of the course as it provides practical exposure and hands-on experience in applying the data analytics skills learned during the course. It gives learners an opportunity to work on real-world projects and helps to bridge the gap between theoretical knowledge and practical application.

Upon completion of the course, you'll receive a Training Certificate acknowledging your successful acquisition of the data analytics skills taught during the training sessions. Additionally, after successfully completing the virtual internship, you'll be awarded an Internship Certificate. The certification process typically takes place soon after the conclusion of the respective parts of the program.

🔥🔥 Start (OR) Switch your career into Data Analyst to get 20 LPA 🔥🔥