Data Analytics Course In Hyderabad
With
100% Placement Assistances
- Achieved a 90% placement success rate with over 100 students placed in Data Analytics.
- We offer internships, resume building, and mock interviews +Study Material.
- Prepare Python, SQL, Machine Learning, and AI from Scratch.
Become a Data Analytics Expert
- Python / R / SQL
- Jupyter Notebook
- Google Colab
- Pandas & NumPy
- Scikit-learn
- Tableau / Power BI
- Matplotlib & Seaborn
- Git & GitHub
WHY CHOOSE US?
4 Months Course
100% Practical & AI Integrated Business Analyst Course.
1 Month Internship
100% Practical & AI Integrated Business Analyst Course.
Excellent Training
100% Practical & AI Integrated Business Analyst Course.
1-on-1 Mentorship
100% Practical & AI Integrated Business Analyst Course.
Placement Assistance
100% Practical & AI Integrated Business Analyst Course.
30+ Modules
100% Practical & AI Integrated Business Analyst Course.
Live Project
100% Practical & AI Integrated Business Analyst Course.
Certifications
100% Practical & AI Integrated Business Analyst Course.
Data Analytics Course Curriculum (Syllabus)
Module 1: Introduction to Data Analytics and Its Applications
- Overview of Data Analytics: Understand what data analytics is, its importance in the current business landscape, and how it is applied across industries.
- Data Analytics Process: Introduction to the key steps involved in the data analytics workflow – from data collection to analysis and interpretation.
- Applications of Data Analytics: Explore real-world applications in healthcare, finance, retail, marketing, and more.
- Types of Data Analytics: Descriptive, diagnostic, predictive, and prescriptive analytics.
Module 2: Fundamentals of Statistics and Data Interpretation
- Introduction to Statistics: Learn key statistical concepts like mean, median, mode, variance, and standard deviation.
- Probability and Distribution: Understand probability theory, normal distribution, binomial distribution, and hypothesis testing.
- Data Interpretation: How to interpret and analyze data visually using charts, graphs, and other statistical tools.
- Statistical Methods for Analysis: Learn about correlation, regression analysis, sampling techniques, and testing for statistical significance.
Module 3: SQL for Data Extraction and Management
- Introduction to SQL: Understanding SQL (Structured Query Language) and its role in data extraction and manipulation.
- Data Querying: Learn to write basic queries to retrieve data from databases, including SELECT, WHERE, JOIN, and GROUP BY.
- Advanced SQL Queries: Complex queries involving nested queries, subqueries, and aggregate functions.
- Database Management: Basics of database design, normalization, and creating/managing tables and indexes.
Module 4: Python and R Programming for Data Analytics
- Introduction to Transformers: Architecture and Working Principle
- GPT Models: Exploring GPT-3, GPT-4, and OpenAI’s Role in Generative AI
- Applications of GPT Models: Text Generation, Text Completion, and Language Translation
Module 5: Data Visualization Tools (Tableau, Power BI)
- Introduction to Data Visualization: Understand the importance of data visualization in decision-making.
- Tableau Basics: Learn how to use Tableau to create interactive dashboards and reports.
- Power BI Basics: Explore Power BI, including importing data, creating visualizations, and sharing reports.
- Designing Dashboards: Understand best practices for designing clear and insightful data visualizations.
- Real-Life Visualization Examples: Hands-on practice using both tools to visualize business data for actionable insights.
Module 6: Machine Learning Basics and Predictive Modeling
- Introduction to Machine Learning: Understand the fundamentals of machine learning, including supervised and unsupervised learning.
- Types of Algorithms: Learn about classification algorithms (e.g., logistic regression, decision trees) and clustering algorithms (e.g., K-means).
- Building Predictive Models: How to create predictive models to forecast trends and behavior using historical data.
- Model Evaluation: Learn how to assess the accuracy of machine learning models using metrics like accuracy, precision, recall, and F1 score.
Module 7: Big Data Analytics with Hadoop and Spark
- Introduction to Big Data: Understand the concept of big data and why traditional data processing methods don’t work for large datasets.
- Hadoop Basics: Learn how Hadoop is used for storing and processing large volumes of data across distributed computing environments.
- Spark Fundamentals: Learn how Apache Spark provides fast, in-memory data processing and how it can be used for big data analytics.
- Data Processing with Hadoop and Spark: Hands-on experience processing large datasets using Hadoop and Spark in real-time scenarios.
Module 8: Real-Time Data Analytics Projects and Case Studies
- Real-Time Analytics: Understand the concept of real-time data analytics and how businesses use it for immediate decision-making.
- Project 1: Build a predictive model for sales forecasting using real-world business data.
- Project 2: Perform a customer segmentation analysis using clustering algorithms.
- Project 3: Develop an interactive dashboard using Tableau or Power BI to visualize business performance metrics.
What is Data Analytics?
- Data Analytics is the process of examining raw data to uncover hidden patterns, correlations, and trends that help in decision-making. By leveraging statistical methods and technologies, data analytics helps businesses transform data into actionable insights, enabling them to make informed decisions and optimize operations.
While Data Analytics, Data Science, and Business Intelligence (BI) all focus on extracting insights from data, they differ in scope and approach. Data Analytics primarily focuses on analyzing existing data to solve specific problems. Data Science involves using algorithms, machine learning, and predictive modeling to analyze large datasets and make future predictions. Business Intelligence primarily deals with reporting historical data to help businesses understand past performance and drive strategic planning.
Job opportunities (Careers) in Data
Analytics Course in Hyderabad
Data analysts are responsible for interpreting and analyzing complex data to help businesses make informed decisions. With the skills learned in the course, you can land a role in industries such as finance, healthcare, and e-commerce.
Business Intelligence Analyst
As a Business Intelligence Analyst, you will work with data to help companies gain insights into their operations. The role requires expertise in data visualization tools like Tableau and Power BI, skills you’ll develop during the course.
Data Scientist
Data scientists combine advanced analytics, machine learning, and statistical techniques to extract insights from data. This role is highly technical and requires in-depth knowledge of programming languages like Python and R, which are covered in the Data Analytics course.
Marketing Analyst
Marketing analysts use data to understand consumer behavior and trends. By leveraging data analytics, you can provide valuable insights that help shape marketing strategies and campaigns.
Operations Analyst
Operations analysts use data to identify ways to improve operational efficiency and reduce costs. With the knowledge gained in the Data Analytics course, you can help businesses streamline their operations.
Financial Analyst
Financial analysts use data analytics to forecast and analyze financial performance, assisting organizations in making strategic financial decisions. With skills in Excel, statistics, and financial modeling, you can excel in this role.
Tools Covered in Data Science course
Data Analytics Course in Certification
and Internship Certificate
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Student Testimonials
Data Analytics Course in Hyderabad
“I enrolled in the Data Analytics Course in Hyderabad at Minted Minds and was impressed by the practical approach of the training. The hands-on projects helped me grasp the concepts of SQL, Python, and data visualization tools like Tableau. The Data Analytics Certification I received helped me land a job at a top company.”
Ammu
“The Data Analytics Training Institute in Hyderabad provided in-depth knowledge and real-world applications. I now confidently work with big data tools like Hadoop and Spark, and the placement assistance helped me secure a great job in data analytics. Highly recommend this course!”
Payal
“I took the Data Analytics Coaching in Hyderabad at Minted Minds and was able to enhance my analytical skills. The course covered everything, from basic statistics to advanced machine learning techniques. The trainers were extremely supportive, and the certification added great value to my resume.”
Somya
“The best Data Analytics Course in Hyderabad! The curriculum was up-to-date, and we got hands-on experience with real-time projects. I gained expertise in Python, R, and SQL. The course helped me build the skills necessary for working as a data scientist, and the career support was fantastic.”
Sanjay
“I enrolled in the Data Analytics Certification Course in Hyderabad and learned everything from data cleaning to visualization. The training included working on real-time data analytics projects that helped me understand the real-world applications of data analysis. I highly recommend this course for anyone interested in data analytics.”
Sravani
“The Data Analytics Classes in Hyderabad at Minted Minds are comprehensive and cover all essential tools and techniques needed to succeed in the field. I loved the interactive learning approach and how it combined theory with practical examples. With the skills I gained, I transitioned into a new role in business intelligence.”
Abhi
Data Analytics Course in Hyderabad
Frequently Asked Questions
1. Which course is best for data analytics?
The best course for Data Analytics would be one that covers key areas such as SQL, Python, R programming, data visualization (e.g., Tableau, Power BI), and machine learning basics. Look for a course with practical training, industry-relevant projects, and certifications like the one offered at Minted Minds in Hyderabad.
2. How can I become a data analyst in Hyderabad?
To become a data analyst in Hyderabad, you need to have a strong foundation in data analysis tools, SQL, Excel, Python, and data visualization. Completing a Data Analytics course from a reputable institute like Minted Minds can provide you with the necessary skills and certification to begin your career.
3. What is the cost of a data analytics course?
The cost of a Data Analytics course varies depending on the duration, the institute, and the mode of study. On average, Data Analytics training in Hyderabad can cost anywhere between ₹25,000 to ₹70,000. However, Minted Minds offers affordable courses with flexible payment options and discounts, making it a great choice.
4. Can we learn data analytics in 3 months?
Yes, you can learn Data Analytics in 3 months if you dedicate time and effort to the course. A 3-month intensive program, like the one at Minted Minds, covers all the essential concepts, tools, and hands-on projects that will help you gain proficiency in Data Analytics.
5. Is prior knowledge required for data analytics?
No prior knowledge is required to start learning Data Analytics. However, having a basic understanding of mathematics and statistics will be helpful. Our course at Minted Minds is designed for beginners, and we guide you through every aspect of Data Analytics from scratch.
6. What job opportunities are available after completing a data analytics course?
After completing a Data Analytics course, you can explore various career options, including roles like Data Analyst, Business Intelligence Analyst, Data Scientist, and Marketing Analyst. Hyderabad is a hub for IT and analytics companies, offering plenty of job opportunities for skilled professionals.
7. Is data analytics a good career?
Yes, Data Analytics is a promising and lucrative career. With businesses relying more on data to make decisions, skilled data analysts are in high demand. A career in Data Analytics offers high job security, excellent salary potential, and opportunities for growth.
8. Can I take the course online?
Yes, Minted Minds offers an online Data Analytics course with flexible learning options, allowing you to learn at your own pace from anywhere. You will also get access to live sessions, recorded videos, and assignments for a comprehensive learning experience.
9. What tools will I learn during the data analytics course?
In the Data Analytics course at Minted Minds, you will learn popular tools such as SQL for database management, Python and R for data analysis, Tableau and Power BI for data visualization, and machine learning techniques for predictive analytics.
10. What certification will I receive after completing the course?
After successfully completing the Data Analytics course at Minted Minds, you will receive a professional certification in Data Analytics, which is recognized by industry experts. This certification will help you stand out in the job market and demonstrate your skills to potential employers.