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Data Analytics Training
Course in Noida
APTRON Solutions
Introduction
Data Analytics is a transformative discipline that has become an integral part of today's data-driven
world. In a digital age where data is generated at an unprecedented rate, the ability to harness and
analyze this information has never been more critical. Data Analytics is the science of uncovering
hidden insights, trends, and patterns from large datasets, allowing organizations to make informed
decisions, solve complex problems, and drive innovation.
At its core, data analytics involves the systematic examination of data through a series of
processes, including data collection, cleaning, analysis, and interpretation. This multifaceted
approach enables professionals to gain a deeper understanding of various aspects of their
businesses, customers, and operations. From identifying consumer preferences to optimizing
supply chains and predicting future trends, data analytics has the power to unlock valuable
knowledge that can propel businesses and industries forward. It is a dynamic field that continues
to evolve as technology and methodologies advance, making it a compelling and promising career
choice for those who wish to navigate the data-rich landscape of the modern world.
What is Data Analytics ?
Data Analytics is the process of examining, cleaning, transforming, and
interpreting data to extract valuable insights, patterns, trends, and meaningful
information. It involves using various techniques, tools, and methodologies to
make data-driven decisions and solve complex problems.
Key components of data analytics include:
Data Collection: This step involves gathering data from various sources, which
can be structured (e.g., databases, spreadsheets) or unstructured (e.g., social
media, text documents).
Data Cleaning and Preparation: Raw data often requires cleaning and preprocessing
to remove errors, inconsistencies, and missing values. It involves standardizing data,
handling outliers, and converting data into a suitable format for analysis.
Data Analysis: Data is analyzed using statistical, mathematical, and computational
techniques to identify patterns and relationships within the data. Descriptive,
diagnostic, predictive, and prescriptive analytics are common approaches.
Data Visualization: Data visualization is a crucial aspect of data analytics. It involves
representing data graphically through charts, graphs, and dashboards to make it easier
to understand and communicate findings.
Statistical Analysis: Statistical techniques are used to draw conclusions and make
inferences about the data. This includes measures of central tendency, variability,
regression analysis, hypothesis testing, and more.
Why Choose APTRON Solution for Data Analytics Training in Noida?
Expert Trainers: Our training program is led by industry experts with years of hands-
on experience in data analytics. They provide invaluable insights, real-world examples,
and mentorship throughout the course, ensuring you receive top-notch education.
Industry-Relevant Curriculum: We understand that the field of data analytics is ever-
evolving. Our curriculum is meticulously designed to stay current with the latest trends,
tools, and techniques, ensuring that you are prepared for the demands of the industry.
Practical Learning: At APTRON Solution, we believe in learning by doing. Our course
emphasizes practical projects, case studies, and hands-on exercises that allow you to
apply your knowledge in real-world scenarios.
State-of-the-Art Facilities: Our training center in Noida boasts modern infrastructure
and cutting-edge technology, creating a conducive learning environment for our
students.
Course Highlights
Introduction to Data Analytics: Gain a solid foundation in data analytics, including its principles,
methodologies, and tools.
Data Visualization: Learn how to create meaningful insights from data using visualization tools
like Tableau, Power BI, and more.
Statistical Analysis: Dive into statistical techniques and methods to make data-driven decisions
with confidence.
Machine Learning: Explore the exciting world of machine learning and delve into predictive
analytics.
Big Data Analytics: Harness the power of big data technologies like Hadoop and Spark for in-
depth data analysis.
Real Projects: Apply your knowledge through real-world projects and case studies, ensuring
you're job-ready upon completion.
Course Structure
Our Data Analytics Training Course in Noida at APTRON Solution is a well-
structured program designed to provide you with a comprehensive understanding of
data analytics. Here's a closer look at the course modules:
Data Analytics Fundamentals: Begin with an introduction to data analytics, its
significance in the modern business landscape, and key terminologies.
Data Collection and Preprocessing: Learn how to gather, clean, and organize data
to make it suitable for analysis. Dive into data cleansing, transformation, and quality
assessment.
Exploratory Data Analysis: Discover how to explore and visualize data effectively,
making use of statistical tools and data visualization libraries.
Statistical Analysis: Delve into statistical methods, hypothesis testing, and regression
analysis to draw meaningful insights from data.
Contact Detail
Address : B-10, SECTOR-2 NEAR SECTOR - 15 METRO STATION NOIDA -
201301, U.P. (INDIA)
Mobile: 706-527-3000
Gmail: info@aptronsolutions.com
Website: https://aptronsolutions.com/

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Data Analytics Training Course in Noida.pptx

  • 1. Data Analytics Training Course in Noida APTRON Solutions
  • 2.
  • 3. Introduction Data Analytics is a transformative discipline that has become an integral part of today's data-driven world. In a digital age where data is generated at an unprecedented rate, the ability to harness and analyze this information has never been more critical. Data Analytics is the science of uncovering hidden insights, trends, and patterns from large datasets, allowing organizations to make informed decisions, solve complex problems, and drive innovation. At its core, data analytics involves the systematic examination of data through a series of processes, including data collection, cleaning, analysis, and interpretation. This multifaceted approach enables professionals to gain a deeper understanding of various aspects of their businesses, customers, and operations. From identifying consumer preferences to optimizing supply chains and predicting future trends, data analytics has the power to unlock valuable knowledge that can propel businesses and industries forward. It is a dynamic field that continues to evolve as technology and methodologies advance, making it a compelling and promising career choice for those who wish to navigate the data-rich landscape of the modern world.
  • 4. What is Data Analytics ? Data Analytics is the process of examining, cleaning, transforming, and interpreting data to extract valuable insights, patterns, trends, and meaningful information. It involves using various techniques, tools, and methodologies to make data-driven decisions and solve complex problems. Key components of data analytics include: Data Collection: This step involves gathering data from various sources, which can be structured (e.g., databases, spreadsheets) or unstructured (e.g., social media, text documents).
  • 5. Data Cleaning and Preparation: Raw data often requires cleaning and preprocessing to remove errors, inconsistencies, and missing values. It involves standardizing data, handling outliers, and converting data into a suitable format for analysis. Data Analysis: Data is analyzed using statistical, mathematical, and computational techniques to identify patterns and relationships within the data. Descriptive, diagnostic, predictive, and prescriptive analytics are common approaches. Data Visualization: Data visualization is a crucial aspect of data analytics. It involves representing data graphically through charts, graphs, and dashboards to make it easier to understand and communicate findings. Statistical Analysis: Statistical techniques are used to draw conclusions and make inferences about the data. This includes measures of central tendency, variability, regression analysis, hypothesis testing, and more.
  • 6. Why Choose APTRON Solution for Data Analytics Training in Noida? Expert Trainers: Our training program is led by industry experts with years of hands- on experience in data analytics. They provide invaluable insights, real-world examples, and mentorship throughout the course, ensuring you receive top-notch education. Industry-Relevant Curriculum: We understand that the field of data analytics is ever- evolving. Our curriculum is meticulously designed to stay current with the latest trends, tools, and techniques, ensuring that you are prepared for the demands of the industry. Practical Learning: At APTRON Solution, we believe in learning by doing. Our course emphasizes practical projects, case studies, and hands-on exercises that allow you to apply your knowledge in real-world scenarios. State-of-the-Art Facilities: Our training center in Noida boasts modern infrastructure and cutting-edge technology, creating a conducive learning environment for our students.
  • 7. Course Highlights Introduction to Data Analytics: Gain a solid foundation in data analytics, including its principles, methodologies, and tools. Data Visualization: Learn how to create meaningful insights from data using visualization tools like Tableau, Power BI, and more. Statistical Analysis: Dive into statistical techniques and methods to make data-driven decisions with confidence. Machine Learning: Explore the exciting world of machine learning and delve into predictive analytics. Big Data Analytics: Harness the power of big data technologies like Hadoop and Spark for in- depth data analysis. Real Projects: Apply your knowledge through real-world projects and case studies, ensuring you're job-ready upon completion.
  • 8. Course Structure Our Data Analytics Training Course in Noida at APTRON Solution is a well- structured program designed to provide you with a comprehensive understanding of data analytics. Here's a closer look at the course modules: Data Analytics Fundamentals: Begin with an introduction to data analytics, its significance in the modern business landscape, and key terminologies. Data Collection and Preprocessing: Learn how to gather, clean, and organize data to make it suitable for analysis. Dive into data cleansing, transformation, and quality assessment. Exploratory Data Analysis: Discover how to explore and visualize data effectively, making use of statistical tools and data visualization libraries. Statistical Analysis: Delve into statistical methods, hypothesis testing, and regression analysis to draw meaningful insights from data.
  • 9. Contact Detail Address : B-10, SECTOR-2 NEAR SECTOR - 15 METRO STATION NOIDA - 201301, U.P. (INDIA) Mobile: 706-527-3000 Gmail: info@aptronsolutions.com Website: https://aptronsolutions.com/