Data Analytics Course in Hyderabad
with
100% Placement Assistance
- Capstone Projects
- Industry Ready Curriculum
- Start From Foundation Level Training
Data Analytics Course in Hyderabad
Batch Details
| Trainer Name | Mr. Amit (Certified Trainer) |
| Trainer Experience | 10+ Years |
| Next Batch Date | 23rd January 2025 (8:00 PM IST) |
| Training Modes | Online Training (Instructor Led) |
| Course Duration | 3 Months |
| Call us at | +91 9948801222 |
| Email Us at | dataanalyticsmasters.in@gmail.com |
| Demo Class Details | ENROLL FOR FREE DEMO CLASSES |
Data Analytics Training in Hyderabad
Course Curriculum
Module 1: Introduction to Data Science
- Definition and scope of data science
- Data science lifecycle
- Types of data (structured, unstructured, semi-structured)
- Data science tools and technologies
Module 2: Basics of Python
- Python programming
- Introduction to python
- Python basics
- Data structures in python
- Conditional statements
- Loopings
- Functions and lambda
- File handling
- Exception handling
- Object-oriented programming language(oops)Basics
- Introduction to python libraries
Module 3: Statistics and Probability
- Descriptive statistics (mean, median, mode)
- Inferential statistics (hypothesis testing, confidence intervals)
- Probability distributions (Bernoulli, Binomial, Normal)
- Bayes’ theorem
Module 4: Data Cleaning and Preprocessing
- Handling missing data
- Data normalisation and scaling
- Data transformation (log, sqrt)
- Data quality and validation
Module 5: Data Wrangling
- Data structures (pandas, NumPy)
- Data manipulation (merge, join, groupby)
- Data aggregation (sum, mean, count)
Module 6: Data Visualization
- Introduction to data visualisation
- Visualisation tools (Matplotlib, Seaborn, Plotly)
Module 7: Descriptive Analytics
- Summary statistics (mean, median, mode)
- Visualisations (histograms, box plots)
- Correlation analysis
Module 8: Inferential Analytics
- Hypothesis testing (t-test, ANOVA)
- Confidence intervals
- Regression analysis
Module 9: SQL Fundamentals
- Introduction to SQL
- SQL Syntax and Data Types
- SQL Commands (SELECT, INSERT, UPDATE, DELETE)
- Querying Data (WHERE, AND, OR, NOT)
- Sorting and Limiting Data (ORDER BY, LIMIT)
- Data Modeling
- Entity-Relationship Modeling (ERM)
- Database Design Principles
- Normalisation (1NF, 2NF, 3NF)De-normalisation
- SQL Queries
- Simple Queries (SELECT, FROM, WHERE
- Aggregate Functions (SUM, AVG, MAX, MIN, COUNT)
- Grouping and Filtering (GROUP BY, HAVING)
- Joining Tables (INNER JOIN, LEFT JOIN, RIGHT JOIN)
- Subqueries (Nested Queries)
- Window Functions (ROW_NUMBER, RANK, etc.)
- Views and Stored Procedures
- Triggers and Functions
Module 10: Power Bi
- Introduction to power bi
- Getting started with power bi
- Power bi desktop
- Data transformation with power query
- Data modelling in power bi
- Dax functions(Data analysis Expressions)
- Data visualisation Techniques
- Creating interactive dashboards
Module 11: Supervised Learning in Machine Learning
- Linear regression
- Logistic regression
- Support vector machines (SVM)
Module 12: Unsupervised Learning In ML
- Clustering (k-means, hierarchical)
- Dimensionality reduction (PCA, t-SNE)
- Association rule mining
Module 13: Model Evaluation and Selection
- Evaluation metrics (accuracy, precision, recall)
- Cross-validation
- Hyperparameter tuning
Module 14: Neural Networks and Deep Learning
- Introduction to neural networks
- Deep learning architectures (CNN, RNN)
- TensorFlow and Keras
Module 15: Natural Language Processing (NLP)
- Introduction to NLP
- Text preprocessing
- Sentiment analysis
Module 16: Computer Vision
- Introduction to computer vision
- Image processing
- Object detection
Data Analytics Course in Hyderabad
Trainers Profile
Mrs. Madhumathi
About the Trainer
Mrs. Madhumathi, a highly qualified Data Analyst with a Master’s degree in Data Science and specializes in deriving actionable insights from complex datasets to enhance business strategies. She is senior Data Analyst and Data Scientist with – 10+ Years of Experience
She helps students to build strong skills, preparing them for success. She is also a Certified Excel Expert and with her guidance, students will learn to extract insights effectively. She excels in simplifying complex concepts, offering hands-on training with tools like Python, SQL, and Tableau, and guiding learners through real-world projects.
About the Trainer
Mr. Gopal Krishna is a seasoned Data Visualization Specialist with over 8 years of experience and a Master’s degree in Computer Science, excelling in creating impactful visual representations of complex data to support informed decision-making.
He is also proficient in Python, R and SQL. With over 8 years of experience, he is an expert with industry knowledge on finance, retail, healthcare sectors, and also with expertise in transforming complex datasets into clear, compelling visual stories. With a strong background in tools like Tableau, Power BI, and Python visualization libraries, he enables businesses to make data-driven decisions effectively.
Mr. Gopal Krishna
Data Analytics Course in Hyderabad
key points
Expert Faculty
At Data Analytics Courses, our instructors are industry leaders with years of hands-on experience. Their expertise and practical knowledge bring every lesson to life, delivering engaging and impactful training that trains you with the skills needed to excel in the real world.
Comprehensive Curriculum
Our training program offers comprehensive coverage of data analytics, from foundational concepts to advanced techniques. With real-world projects and practical learning, we ensure students gain the skills and knowledge they need to succeed in the field of data analytics.
Hands-On Learning
The course offers hands-on sessions and projects where students work with real datasets, explore various tools and software, and apply their theoretical knowledge to solve real-world problems. This practical approach enhances the learning experience and helps students build valuable, job-ready skills.
Industry-Relevant Projects
Students have the chance to work on industry-relevant projects that mirror the latest trends and challenges in data analytics. Guided by expert trainers with real-world experience, they gain practical insights and are well-prepared to tackle real-world scenarios with confidence.
State-of-the-Art Facilities
The institute provides state-of-the-art technology and the latest software to support data analytics training. With access to modern tools and resources, students are empowered to learn effectively and stay ahead in the ever-evolving field of data analytics.
Personalized Support
At Data Analytics Masters, we offer personalized attention and one-on-one interactions to meet the needs of each student's unique learning needs and career goals. Our supportive learning environment ensures that every student receives the guidance they need to succeed and grow.
Career Assistance
The institute provides a range of valuable services, including career guidance, resume building, interview preparation, expert mock interviews, and job placement assistance. These resources are designed to help students confidently transition into the industry and begin their careers.
Networking Opportunities
Students have the opportunity to connect with a strong network of professionals, industry experts, and alumni, providing them with valuable opportunities for collaboration, growth, and career advancement. This network helps open doors to new possibilities and lasting success.
Flexible Learning Options
At Data Analytics Masters, we offer flexible learning options like online, in-person, and hybrid formats to fit different learning styles and schedules. This makes it easier for every student to choose the way that works best for them.
Strong Reputation
The institute has a strong track record of success, with glowing reviews from past students and recognition from industry professionals. This highlights its credibility and proven effectiveness in delivering top-quality Data Analytics training in Hyderabad.
Data Analytics Training in Hyderabad
Training Modes
Classroom Training
- Interactive Face-to-Face Teaching
- Industry Expert Trainers
- One-on-One Support
- Collaborative Environment
- Hands-on Industry Projects
- Group Discussions
- Covers Advanced Topics
Online Training
- Virtual Learning Sessions
- Daily Session Recordings
- Instructor Support
- Interactive Webinars
- Digital Learning Modules
- Online Practical Labs
- Flexible Learning Schedules
Corporate Training
- Customised Training Programs
- Daily Recordings
- Interactive Team Development
- Expert Instruction
- Industry-Relevant Content
- Performance Monitoring
- On-Site Workshops
Data Analytics Training in Hyderabad
Why Choose Us
- High-demand skill
- Diverse career options
- Data-driven decision-making
- Hands-on tool experience
- 100% JOB Oriented Program
- Enhance problem-solving skills
- Exposure to AI and ML.
- One-One Mentor with Project Support
- Industry-relevant curriculum
- Strong professional network
- Job placement support
- Certification boost
- High earning potential
- Global job opportunities
What is Data Analytics?
- Data analytics involves examining large sets of data to uncover patterns and trends.
- Data analytics is done with the help of tools and software.
- It helps organizations make data-driven decisions and improve business strategies.
- The process includes data collection, cleaning, and transforming raw data into useful insights.
- Techniques like statistical analysis, machine learning, and data mining are commonly used.
- Data analytics is used to predict future trends, behaviors, and outcomes.
- Data analytics helps in risk management by identifying potential issues before they arise.
- It supports decision-making by providing actionable, data-backed information.
- If you are looking to learn Data Analytics training in Hyderabad then our Data Analytics course is the best option.
Data Analytics Course in Hyderabad
Tools Covered
Tableau
Tableau is a powerful data visualization tool that helps you turn complex data into interactive, easy-to-understand charts and dashboards. It allows users to explore data visually, uncover trends, and make data-driven decisions quickly and effectively.
Power Bi
Power BI is a user-friendly business analytics tool that helps you visualize and share insights from your data. With its interactive dashboards and easy-to-understand reports, Power BI enables businesses to make informed decisions by turning data into actionable information.
Microsoft Excel
Microsoft Excel is a key tool in data analytics for organizing, analyzing, and visualizing data. It helps analysts clean data, perform calculations, and create charts to uncover trends and insights, making it essential for data-driven decision-making.
R language
R is a programming language used for statistical analysis and data visualization. It allows you to manipulate data, perform complex calculations, and create clear, informative graphs, making it a powerful tool for data analysis and research.
NumPy
NumPy is a powerful Python library used for working with large datasets and performing mathematical operations. It makes working with arrays and matrices simple and fast, helping data analysts and scientists solve complex problems efficiently.
SQL
SQL (Structured Query Language) is a language used to manage and analyze data in databases. It allows you to easily retrieve, update, and organize data, making it an essential tool for data analysis and decision-making.
PySpark
PySpark is a tool that helps you work with big data using Python. It makes it easy to process and analyze large amounts of data quickly, making it great for handling big projects and machine learning tasks.
Pandas
Pandas is a Python library that makes working with data simple and efficient. It helps you organize, analyze, and manipulate data with ease, making it an essential tool for data analytics and machine learning projects.
ApacheSpark
Apache Spark is a fast and powerful tool for big data processing. It helps handle large datasets efficiently, making it easy to analyze data, run machine learning models, and process data in real-time across distributed systems.
OpenCV
OpenCV is an open-source library used for computer vision and image processing. It helps in tasks like detecting objects, recognizing faces, and analyzing images or videos, making it a powerful tool for building innovative applications in AI and machine learning.
Tensor Flow
TensorFlow is an open-source platform by Google for building and deploying machine learning models. It’s widely used for tasks like image recognition, natural language processing, and predictive analytics, offering flexibility to run on various devices like CPUs, GPUs, and TPUs.
Keras
Keras is an easy-to-use tool for building and training deep learning models. It helps users quickly create neural networks with a simple interface, making it great for beginners and professionals alike.
Data Analytics Course in Hyderabad
Skills Required
- You need to understand basic statistics, such as averages, spread, and how data behaves, to make sense of the information.
- Mastering Excel is important because it's a handy tool for organizing, analyzing, and presenting data effectively.
- Learning programming languages like Python, R, and SQL is crucial for manipulating and working with large datasets.
- Being able to create clear visualizations using tools like Tableau and Power BI helps make complex data easy to understand.
- A strong foundation in math is important, especially algebra, as it helps in applying analytical techniques to data.
- Having good problem-solving skills is key, as you need to break down complex problems and find solutions through data analysis.
- Knowing how to clean and preprocess data ensures that you can handle missing information and errors in the data before analysis.
- Understanding the basics of machine learning will enhance your ability to work with advanced data analysis techniques.
Skills Developed
- Data analysis and interpretation skills are developed, enabling you to identify meaningful patterns and trends in data.
- You gain the ability to create impactful data visualizations using tools like Tableau and Power BI to make complex data easily understandable.
- A strong understanding of statistics is built, which helps in making data-driven decisions and deriving insights.
- Programming skills in languages like Python, R, and SQL are acquired, which allow you to manipulate large datasets effectively.
- Problem-solving skills are enhanced, providing a data-driven approach to solving business challenges.
- Data cleaning and preparation techniques are learned, ensuring that raw data is organized and ready for analysis.
- A basic understanding of machine learning is gained, enabling the application of algorithms to make predictions and uncover deeper insights.
- The ability to generate actionable business insights is developed, using data to drive better decision-making and strategies.
Data Analytics Course In Hyderabad
Knowledge objectives
The Data Analytics course in Hyderabad is designed to provide learners with essential skills for analyzing, interpreting, and deriving actionable insights from data. Students will work with popular tools like Python, R, SQL, Tableau, and Power BI, gaining hands-on experience in transforming raw data into meaningful information. The course builds a solid foundation in data cleaning, exploration, and applying statistical methods to interpret data effectively.
Throughout the course, learners will learn to solve real-world problems using data-driven solutions.
Emphasis is placed on cultivating strong critical thinking abilities and presenting data insights through effective visualization techniques. Students will also acquire the skills to communicate their findings in a clear and impactful way to various stakeholders.
By the end of the course, participants will be equipped to pursue careers as Data Analysts, Business Analysts, or Data Visualization Specialists. The course also prepares students for obtaining industry certifications, enhancing their employability in the growing field of data analytics.
Key Learning Objectives
- Gain hands-on experience in cleaning, transforming, and preparing data for analysis.
- Master statistical techniques for analyzing and interpreting data accurately.
- Learn how to create compelling data visualizations using tools like Tableau and Power BI.
- Become proficient in SQL to query and manage data in databases.
- Explore the use of machine learning models for predicting future trends and behaviors.
- Develop the ability to communicate insights clearly to non-technical audiences.
- Acquire practical skills in Python and R for handling and processing large datasets.
- Work on real-life projects to build a professional portfolio of data analytics work.
- Strengthen problem-solving capabilities to tackle data-related challenges in business contexts.
- Obtain certifications that validate your expertise and enhance career opportunities in data analytics.
- High-demand skill
- Diverse career options
- Data-driven decision-making
- Hands-on tool experience
- 100% JOB Oriented Program
- Enhance problem-solving skills
- Exposure to AI and ML.
Data Analytics Course In Hyderabad
Pre-requisites
Basic Computer Skills
Proficiency in using operating systems, file management, and basic software applications.
Mathematical Foundation
A strong understanding of basic mathematics, including statistics, probability, and algebra.
Analytical Thinking
Ability to logically analyze and interpret data to derive meaningful insights.
Understanding of Databases
Knowledge of databases and basic concepts of data storage, retrieval, and SQL.
Programming Knowledge
Familiarity with programming languages like Python or R is beneficial but not essential.
Problem-Solving Skills
Ability to approach and solve complex problems using data-driven methods.
Attention to Detail
A keen eye for detecting inconsistencies or errors in data.
Curiosity and Willingness to Learn
Enthusiasm for learning new tools, techniques, and concepts in data analytics.
Communication Skills
Proficiency in presenting technical findings in an understandable way for non-technical audiences.
Data Analytics Course in Hyderabad
Course Summary
Learn how to turn raw data into useful insights with the Data Analytics Masters program in Hyderabad. This course is perfect for beginners and professionals who want to build strong data analytics skills and succeed in a data-driven world.
You’ll explore key topics like collecting, cleaning, and analyzing data, as well as advanced techniques like predictive analytics and machine learning. The program also includes hands-on projects and real-world examples to help you apply what you learn in practical ways.
By the end of the course, you’ll be skilled in popular tools like Python, SQL, Tableau, and Power BI. Whether you’re starting a new career or advancing in your current role, this program will prepare you to handle data with confidence and expertise.
1. Industry-Relevant Skills
Gain expertise in tools and techniques that are in high demand, such as Python, SQL, Tableau, and Power BI. Learn how to handle and analyze data efficiently to solve real-world business problems.
2. Hands-On Learning Approach
Work on live projects, case studies, and practical assignments that simulate real-life challenges. This ensures you develop practical skills that employers value.
3. Career Support and Guidance
Receive personalized career guidance, including resume-building workshops, mock interviews, and job placement support to help you launch or grow your career in data analytics.
Key Elements of Data Analytics Course
Introduction to Data Analytics :- Learn the importance of data analytics in decision-making and its applications across various industries.
Data Collection and Cleaning :- Master techniques to gather data from diverse sources and clean it for accuracy and reliability.
Exploratory Data Analysis (EDA) :- Use visualizations and basic statistical tools to uncover patterns, trends, and insights in data.
Programming and Tools :- Gain practical experience with Python, R, SQL, and visualization tools like Tableau for data manipulation.
Machine Learning Basics :- Explore supervised and unsupervised learning concepts and their applications in predictive analysis.
Hands-On Projects :- Work on real-world datasets to solve problems, apply your skills, and build a strong portfolio.
Why Should You Learn Data Science
In-Demand Skill: Data analytics is one of the most sought-after skills in various industries, offering abundant job opportunities across sectors like healthcare, finance, retail, and technology.
Improves Decision-Making: With data analytics, you can transform raw data into valuable insights, enabling informed decision-making that drives business success and strategy.
Boosts Career Growth: Learning data analytics opens up career advancement opportunities, as many organizations prefer professionals who can use data to solve complex problems and increase efficiency.
Enhances Problem-Solving Abilities: Mastering data analytics hones your ability to approach and solve problems using data-driven methods, which can be applied to both professional and personal challenges.
Increases Productivity: By automating repetitive tasks and using data to optimize processes, data analytics helps organizations streamline operations and improve overall productivity.
Versatile Application: Data analytics skills can be applied to various fields like marketing, sports, healthcare, and education, making it a versatile and transferable skill.
Competitive Advantage: Professionals with data analytics skills can offer a competitive edge to employers by providing insights that improve business performance and customer satisfaction.
Foundation for Future Technologies: As technologies like artificial intelligence and machine learning grow, data analytics serves as the foundational skill to understand and implement these advanced tools effectively.
Data Analytics Certification Training in Hyderabad
Data Science Certification Training in Hyderabad offers hands-on courses that teach data analysis, machine learning, and problem-solving skills, preparing you for a successful career in technology. With expert guidance and practical lessons, this program helps you build essential data science skills that are highly valued in today’s job market.
Benefits of certification from a Data Analytics Master’s program:
Enhanced Career Opportunities: A Data Analytics Master’s certification boosts your resume, opening doors to high-demand roles in various industries, such as finance, healthcare, and technology.
Comprehensive Skillset: The program equips you with a broad range of skills, from data visualization and statistical analysis to machine learning and data management, ensuring you’re well-rounded in the field.
Industry Recognition: Earning a certification from a reputable Data Analytics Master’s program is a recognized credential that demonstrates your expertise and commitment to the field, making you stand out to employers.
- Increased Earning Potential: Certified data analytics professionals often command higher salaries compared to their non-certified counterparts due to their advanced skills and expertise
- Practical Experience: The program includes real-world projects and case studies, giving you hands-on experience in solving complex data challenges, which is valuable for both your learning and future job roles.
- Networking Opportunities: By joining a Data Analytics Master’s program, you connect with professionals, instructors, and peers, creating valuable networking opportunities that can lead to career growth and collaborations.
- Career Advancement: With a Data Analytics certification, you position yourself for promotions and leadership roles, as organizations prioritize professionals who can leverage data for strategic decision-making.
Future-Ready Skills: The program covers the latest trends and technologies in data analytics, ensuring that you are prepared for future developments in the field, such as AI and big data.
Data Analytics Course in Hyderabad
Placement Program
- This course in Hyderabad offers a comprehensive placement program designed to support students in securing rewarding job opportunities. The program includes personalized career counseling, resume building, and interview preparation to help candidates effectively showcase their skills to potential employers.
- Additionally, the institute provides access to a network of industry connections and job openings through partnerships with leading tech companies.
- Intensive 3-Month Curriculum: Engage in a rigorous, hands-on training program complete with assignments and tasks designed to build deep expertise.
- Comprehensive Project Execution: Gain real-time experience by implementing end-to-end projects that mirror industry practices.
- Capstone Projects: Work on multiple capstone projects to solidify your skills and showcase your capabilities in Generative AI.
- Practical Work Experience: Acquire hands-on experience that prepares you for the challenges of a professional environment.
- Interview Preparation: Receive expert guidance to excel in job interviews, with focused preparation on key topics and scenarios.
- Simulated Work Environment: Immerse yourself in a realistic work environment that prepares you for the demands of the industry.
- With this comprehensive program, you’ll be well-equipped to secure a top-tier position in the competitive job market.
Where is Data Analytics Used?
Finance
In the financial sector, data analytics helps in detecting fraud, managing risk, forecasting market trends, and making data-driven investment decisions.
Retail
Retailers use data analytics to understand customer behavior, optimize inventory, personalize marketing campaigns, and enhance the overall shopping experience.
Marketing
Data analytics is essential in marketing for measuring campaign effectiveness, segmenting audiences, predicting consumer preferences, and maximizing return on investment (ROI) from marketing efforts.
Sports
In sports, data analytics is used to analyze player performance, optimize strategies, predict outcomes, and improve team management, all of which contribute to better results on and off the field.
Healthcare
Data analytics is used in healthcare to improve patient outcomes by analyzing medical data, optimizing treatment plans, predicting disease outbreaks, and streamlining hospital operations.
Transportation and Logistics
Data analytics plays a crucial role in route optimization, supply chain management, and predictive maintenance, helping companies in transportation and logistics reduce costs and improve efficiency.
Companies That Hired From Data Analytics Masters
Data Analytics Course in Hyderabad
Market Trends
- The Data Analytics field is evolving rapidly with several key trends. As more organizations are adopting data-driven models to streamline their business processes, the data analytics industry is seeing large growth.
- 1. Smarter and Scalable Artificial Intelligence: These systems are highly adaptive, protect privacy, are much faster, and also provide a faster return on investment. The combination of AI and Big data can automate and reduce most of the manual tasks.
- 2. Augmented Analytics: By integrating AI, ML, and natural language processing (NLP) with data analytics tools, augmented analytics is making it easier than ever for both technical and non-technical data analysts to explore data and uncover insights.
- 3. Edge Analytics: This approach basically brings the data processing closer to where it’s generated, like in smart devices or sensors. This means that instead of sending all the data to a central location for processing, it’s analyzed right where it’s created.
- 4. Data Governance and Ethics: As data privacy concerns grow, there is an increasing focus on data governance and ethical data use. Organizations are implementing stricter data policies and practices to ensure compliance and build trust.
- 5. Generative AI: Generative AI models, such as ChatGPT, are revolutionizing data analytics by offering new ways to analyze data and generate insights. These models can understand natural language, access vast amounts of information, and produce human-like outputs, significantly enhancing data analytics workflows.
- 6. Cloud Computing Integration: With cloud services like AWS, Microsoft Azure, and Google Cloud becoming more common, learning to analyze data stored in the cloud is a vital skill.
- 7. Real-Time Data Analytics: Real-time data analysis is gaining importance in sectors like e-commerce, healthcare, and finance. Courses now focus on teaching how to analyze and act on live data.
- 8. Cross-Industry Applications: Data analytics is being applied to all industries, from healthcare to sports and entertainment. Courses are being tailored to specific sectors to meet these growing demands.
- 9. Self-Service Analytics: The rise of self-service analytics tools allows non-technical users to analyze data without coding. Understanding these tools is an essential skill for future data analysts.
- 10. Shortage of Skilled Data Analysts: As data analytics becomes essential for business success, there’s a high demand for skilled professionals. This trend makes data analytics courses more attractive for career growth.
Data Analytics Course in Hyderabad
Testimonials
Data Analytics Course in Hyderabad
Highlights
- The Data Analytics Training provided by us is designed to cover basic to advanced topics with a strong foundation.
- Students will learn how to handle and manipulate the data and bring insights from it.
- The curriculum includes hands-on projects and real-world case studies to enhance practical skills.
- We at Data Analytics Masters Training have the most experienced instructors who are industry experts with extensive knowledge in Data Analytics and Data Science.
- The course is suitable for beginners as well as professionals looking to upskill in their career.
- Online and flexible learning options are available to accommodate different learning schedules.
- Students will gain access to exclusive tools and resources provided by us
- The institute provides career support and networking opportunities to help students advance in their career.
- Upon completion, students receive a certification from Data Analytics Masters, recognized by leading tech companies.
Data Analytics Course in Hyderabad
Course Outline
01
The course begins with an introduction to data science and its tools and technologies.
02
Students will learn about basic concepts of Python to oops concepts.
03
The training covers various types of statistical and probability concepts.
04
And enters into the detail teaching of handling data from collecting data to visualising and analysing it.
05
The course also includes SQL fundamentals which are necessary for manipulating the data.
06
The program offers training with different domains like machine learning, deep learning, Natural Language Processing and Computer Vision where data plays a major role.
07
Students will explore real-time case studies to understand the application of handling data in different industries.
08
The course concludes with guidance on data analysis and career support for further advancement in the field.
Frequently Asked Questions (FAQS)
What are the prerequisites for the Data Analytics training
Basic programming skills, familiarity with machine learning concepts, and knowledge of linear algebra and calculus are recommended for the training.
What topics are covered in the Data Analytics Course?
The training covers fundamental concepts of data science, python, sql, machine learning, deep learning, natural language processing and computer vision.
How is the Data Analytics training delivered?
Training is offered through various modes including classroom sessions, self-paced online videos, and corporate training programs.
What tools and technologies will be used in the training?
Tools such as Tableau, Power Bi, Excel, PySpark are used during the training.
How long does the Data Analytics course program last?
The duration varies depending on the mode of training, typically ranging from a few weeks to several months.
Will I receive a certification after completing the training?
Yes, upon successful completion of the training, participants receive a certification from Data Analytics Masters that is recognized in the industry.
What kind of career support is provided?
Career support includes resume building, interview preparation, job placement assistance, and networking opportunities with industry professionals.
Are there any hands-on projects included in the training?
Yes, the training includes practical projects and real-world case studies to help you apply the concepts learned and gain hands-on experience.
How can I enroll in the Data Analytics training program?
You can enroll by contacting us on Data Analytics Masters website, choosing your preferred mode of training, and following the registration process provided.
