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Class Mode

Online / Offline

Language

Tamil / English

Duration

3-Months

One-On-One Training

Amount: ₹22,000

Our Students Working At

Course Highlight

Our Data Analyst program equips you with essential skills in data collection, cleaning, analysis, and visualization. You'll master industry-standard tools like SQL, Python, Tableau, and Power BI, along with statistical modeling and data-driven decision-making. With hands-on projects and placement assistance, you'll be prepared for a career as a Data Analyst.

Live Interactive Sessions

Learn directly from industry mentors in live classes.

Project Portfolio

Build real-world projects to showcase your skills.

Career Assistance

Get guidance to land your dream job in tech.

Dedicated Peer Network

Connect and collaborate with like-minded learners.

Learn Creative Skills

Enhance your problem-solving and coding abilities.

Certification

Earn an industry-recognized certificate upon completion.

Upcoming Batch

SI.NO Date Day Mode Course Details

Tools Used for Data Analysis

These are the essential tools and technologies used for modern Data Analysis. They help in data collection, processing, visualization, and interpretation to make informed business decisions and drive insights.

Course Syllabus

Our Data Analytics program equips you with comprehensive skills in data collection, processing, visualization, and interpretation. You’ll gain expertise in industry-standard tools like SQL, Python, R, Tableau, and Power BI, along with statistical analysis and machine learning techniques. Through hands-on projects and placement assistance, you'll become a job-ready Data Analyst, prepared to extract meaningful insights and drive data-driven decision-making.

Data Analytics

Introduction

Overview of Data Analytics: Definition, benefits, and applications.

Understanding the data lifecycle: Data collection, cleaning, analysis, visualization, and interpretation.

Exploring the roles and responsibilities of Data Analysts across industries.

Collaboration between data teams, business analysts, and decision-makers.

Utilizing industry-standard tools like Excel, SQL, Python, Tableau, and Power BI.

Essential Tools and Technologies

Excel

Data manipulation, pivot tables, formulas, and advanced functions.

SQL

Querying databases, joins, aggregations, and data extraction.

Python

Data analysis libraries: Pandas, NumPy, Matplotlib, Seaborn.

Power BI / Tableau

Creating dashboards, visualizing data, and generating reports.

Data Analysis Techniques

Data Cleaning and Preprocessing

Handling missing data, removing duplicates, and dealing with outliers.

Exploratory Data Analysis (EDA)

Using visualizations and descriptive statistics to understand data trends.

Statistical Analysis

Hypothesis testing, correlation analysis, and probability distributions.

Feature Engineering

Transforming raw data into meaningful features for better analysis.

Business Intelligence and Reporting

Understanding KPIs and Business Metrics

Identifying key performance indicators (KPIs) relevant to business objectives.

Analyzing business metrics for data-driven decision-making.

Building Interactive Dashboards

Creating dynamic dashboards using Power BI, Tableau, or Excel.

Designing visualizations to communicate insights effectively.

Preparing and Presenting Actionable Insights

Translating data into meaningful business recommendations.

Using storytelling techniques to present findings to stakeholders.

Advanced Analytics

Predictive Analytics Basics

Understanding predictive modeling and its applications.

Introduction to regression, classification, and time-series forecasting.

Introduction to Machine Learning Concepts

Overview of supervised and unsupervised learning techniques.

Exploring machine learning algorithms such as linear regression, decision trees, and clustering.

Tools for Data Automation and Analytics Workflow

Automating data processing using Python, SQL, and scripting.

Using cloud platforms and AI-driven analytics tools for workflow automation.

Real-World Applications

Case Studies in Various Industries

Exploring data analytics applications in finance, marketing, healthcare, and retail.

How businesses leverage data-driven decision-making for growth and efficiency.

End-to-End Project Execution

Understanding the complete data analytics workflow from data collection to insight generation.

Applying tools like Excel, SQL, Python, and visualization platforms in real-world scenarios.

Collaborative Industry-Specific Projects

Working in teams to analyze industry-specific datasets and extract meaningful insights.

Developing actionable reports and presenting findings to stakeholders.

Hands-On Project

Comprehensive Data Analysis Project

Working on a real-world dataset covering all phases of data analytics.

Data collection, cleaning, preprocessing, analysis, visualization, and reporting.

Implementing Analytics Solutions

Applying Excel, SQL, Python, and visualization tools like Power BI/Tableau.

Solving practical business challenges using data-driven approaches.

Presenting Insights

Developing interactive dashboards and reports to showcase findings.

Creating data-driven recommendations to support business decision-making.

Data Analytics

Collecting, cleaning, and analyzing data for actionable insights.

Applying statistical methods and exploratory data analysis (EDA).

Using tools like Excel, SQL, Python, Power BI, and Tableau.

Data Analytics Tools and Best Practices

Overview of essential data analytics tools.

Data cleaning, preprocessing, and transformation techniques.

Best practices for data visualization and storytelling.

Ensuring data security and compliance.

Collaboration tools: Excel, SQL, Power BI, Tableau.

Real-World Project Implementation

End-to-end data analysis project execution.

Practical experience with data wrangling, visualization, and reporting.

Case studies of data-driven decision-making across industries.

Industry-standard practices for analytics and business intelligence.

Tools Used for Full Stack Development

These are the essential tools and technologies used for modern full-stack development. They help build scalable, efficient, and high-performance web applications.

Why Choose Data Analytics?

Choosing us means leveraging our 10 years of expertise in Data Analytics. We specialize in transforming raw data into actionable insights, enhancing decision-making, and optimizing business strategies using the latest analytics tools and methodologies. Our program ensures you master industry best practices, equipping you to excel as a Data Analyst and drive data-driven success.

Data Collection & Processing

Learn how to collect, clean, and process data efficiently using SQL, Python, and R.

Data Visualization

Master visualization tools like Tableau, Power BI, and Matplotlib to present insights effectively.

Machine Learning Basics

Gain hands-on experience with predictive analytics and machine learning models using Python.

Statistical Analysis

Understand data patterns, trends, and business implications with statistical techniques.

Data Automation & Scripting

Automate repetitive data tasks using Python, R, and SQL queries.

Industry-Relevant Training

Our expert trainers provide hands-on experience with real-world datasets and projects.

Exclusive Course Offerings

Job-Ready Syllabus
In-Depth Course Material
Flexible Online Classes
Hands-On Final Project
Coding Challenges
Real-World Tasks
Expert Q&A Sessions
One-on-One Mentorship
Industry-Recognized Certificate
Placement Assistance
24/7 Query Resolution
Professional Community

Our Trainers

At Fazo Academy, we are dedicated to providing a comprehensive blend of theoretical knowledge and practical skills in Data Analytics through our passion for blended learning.

Our experienced Data Analytics instructors specialize in industry-relevant skills and bring extensive field experience to the classroom.

Students benefit from hands-on training led by real-time professionals, gaining a deep understanding of the latest industry practices in data collection, processing, visualization, statistical analysis, and machine learning.

Our specialized training programs, conducted by competent instructors, ensure that students acquire in-depth knowledge and relevant skills using tools like Python, R, SQL, Power BI, Tableau, and Excel.

Our dedicated Data Analytics trainers craft personalized training programs, including hands-on projects, real-world simulations, and valuable insights into interview preparation through mock interviews.

Data Analytics Course Image

Feedback From Happy Students

Placement Support

After completing your Data Analytics course at Fazo Academy, you'll gain access to a range of placement benefits and interview support designed to help you secure rewarding job opportunities as a Data Analyst.

Placement Benefits

  • Industry Connections: Fazo Academy has built strong relationships with leading companies in finance, healthcare, e-commerce, and tech industries, ensuring excellent job opportunities for our Data Analytics graduates.
  • Dedicated Placement Assistance: Our placement team organizes job fairs, recruitment drives, and direct company referrals for Data Analyst roles.
  • Resume Building Support: Our career experts assist in crafting resumes that highlight key Data Analytics skills, including data visualization, SQL, and statistical analysis.
  • Interview Preparation: We conduct technical training sessions covering Python, SQL, Power BI, Tableau, and machine learning fundamentals.

Interview Cracking Support

  • Mock Interviews: We simulate real-world Data Analytics interview scenarios with technical and HR rounds.
  • Personalized Coaching: One-on-one coaching to enhance problem-solving and data interpretation skills.
  • Insider Tips and Strategies: Learn how to showcase your data analysis expertise effectively in job interviews.
  • Continuous Support: We provide post-placement guidance to help you excel in your Data Analytics career.
Placement Benefits

Frequently asked Question...?

FAQs about Fazo Academy

Fazo Academy offers a wide range of programs in various fields including software development, cloud computing, cybersecurity, and more. Our flagship program includes Data Analytics training, covering data visualization, SQL, Python, and machine learning fundamentals.

Yes, our Data Analytics courses are accredited and recognized by the industry. We follow a curriculum designed to meet the latest data analysis trends, ensuring students gain real-world, job-ready skills.

Yes, Fazo Academy offers flexible payment options and financial aid for eligible students. Our team can guide you through available scholarships, grants, and installment plans.

While no prior experience is required, a basic understanding of mathematics, statistics, and Excel is beneficial. Our admissions team can help assess your readiness for the Data Analytics program.

Yes, Fazo Academy provides job placement support through resume-building workshops, mock interviews, and direct connections with hiring companies in the Data Analytics field.

FAQs about Data Analytics at Fazo Academy

The Data Analytics Course at Fazo Academy is a comprehensive training program designed to teach students how to analyze, visualize, and interpret data for business decision-making. You'll gain expertise in tools like Excel, SQL, Python, Tableau, Power BI, and machine learning fundamentals.

The Data Analytics Course is suitable for students, business professionals, IT specialists, and anyone interested in using data to drive decision-making. Whether you’re a beginner or an experienced professional looking to upgrade your skills, this course provides in-depth knowledge of data analysis techniques and industry tools.

In this course, you'll learn data collection, cleaning, and visualization techniques. You'll work with key tools like Excel, SQL, Python, and visualization platforms such as Tableau and Power BI. The course covers data wrangling, statistical analysis, predictive modeling, and real-world case studies to enhance practical learning.

There are no strict prerequisites for enrolling in the Data Analytics Course. However, a basic understanding of mathematics, statistics, and Excel can be helpful. This course is designed for beginners as well as professionals looking to transition into data analytics. Prior experience with databases or programming (SQL, Python) is an added advantage, but not required.

Fazo Academy offers the Data Analytics Course in both online and in-person formats. Students can choose the learning mode that best suits their schedule and learning style. Both formats include hands-on projects, live interactive sessions, and mentorship from industry experts to provide a comprehensive learning experience.

The Data Analytics Course at Fazo Academy typically lasts between a few weeks to a few months, depending on the selected learning format (full-time or part-time). The course covers data wrangling, data visualization, statistical analysis, machine learning fundamentals, and hands-on training in tools like Excel, SQL, Python, Tableau, and Power BI.

Graduates of the Data Analytics Course at Fazo Academy can explore careers such as Data Analyst, Business Analyst, Data Scientist, Market Research Analyst, and BI Analyst. With expertise in data visualization, statistical analysis, SQL, and Python, you’ll have opportunities in industries such as finance, healthcare, e-commerce, and technology.

Yes, Fazo Academy provides job placement assistance to graduates of the Data Analytics Course. Our career services team offers resume building, certification guidance, interview preparation, and networking opportunities with top companies. We help connect you with roles such as Data Analyst, Business Intelligence Analyst, and Data Scientist in industries like finance, technology, and healthcare.

FAQs about Training Methods at Fazo Academy

Fazo Academy employs a variety of training methods to ensure comprehensive learning experiences for students. These methods include interactive lectures, hands-on projects, peer collaboration, one-on-one mentorship, industry-relevant curriculum, and flexible learning options

Yes, our lectures are designed to be interactive, allowing students to engage with instructors, ask questions, participate in discussions, and collaborate with peers. Interactive lectures promote active learning and deeper understanding of course material.

Hands-on projects are an integral part of the training at Fazo Academy. Students work on real-world projects throughout the course, applying their knowledge to solve practical problems and build portfolio-worthy applications. These projects provide valuable hands-on experience and reinforce learning objectives.

Yes, peer collaboration is highly encouraged at Fazo Academy. Students often work in teams to complete projects, share insights, and learn from each other's experiences. Collaborative learning fosters a supportive learning environment and enhances the overall learning experience.

Yes, students at Fazo Academy receive personalized one-on-one mentorship from instructors. Our instructors provide guidance, feedback, and support tailored to individual learning needs, helping students overcome challenges and achieve their goals.

Fazo Academy's curriculum is continuously updated to reflect the latest industry trends and technologies. Our instructors stay abreast of developments in the field and incorporate relevant updates into the curriculum to ensure students learn in-demand skills and tools.

Yes, Fazo Academy offers flexible learning options to accommodate different schedules and learning preferences. Students can choose from full-time, part-time, online, and in-person courses, allowing them to tailor their learning experience to fit their needs.

Yes, practical application of learning concepts is emphasized at Fazo Academy. Students have opportunities to apply their knowledge through hands-on projects, coding exercises, and real-world simulations, ensuring they develop practical skills that are directly applicable to their chosen field.

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