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Data Analytics Course in Hyderabad

The Concept of Data Mining and its Applications in Data Analytics

Concept of Data Mining:

Data Collection: Data mining begins with the collection of large volumes of structured or unstructured data from diverse sources, such as databases, websites, sensors, social media, and transactional systems.

Data Preprocessing: The collected data undergoes preprocessing to clean, transform, and prepare it for analysis. This may involve removing duplicates, handling missing values, standardizing data formats, and normalizing data distributions. - Data Analytics Online Training

Exploratory Data Analysis (EDA): EDA techniques are used to explore the dataset visually and statistically, identifying patterns, correlations, and outliers that may provide valuable insights.

Model Building: Data mining algorithms are applied to the preprocessed data to build predictive or descriptive models that capture underlying patterns and relationships. These algorithms include classification, regression, clustering, association rule mining, and anomaly detection techniques.

Model Evaluation: The performance of data mining models is evaluated using metrics such as accuracy, precision, recall, F1 score, and AUC-ROC to assess their effectiveness in predicting outcomes or uncovering patterns. - Data Analytics Course Online

Model Interpretation: The insights generated by data mining models are interpreted and translated into actionable recommendations or strategies that can be used to optimize business processes, improve decision-making, and drive innovation.

Applications of Data Mining in Data Analytics:

Customer Segmentation: Data mining is used to segment customers into distinct groups based on their demographic, behavioral, or transactional attributes. These segments can be used for targeted marketing, personalized recommendations, and customer relationship management.

Predictive Analytics: Data mining models are used to predict future outcomes or trends based on historical data. This includes forecasting sales, predicting customer churn, identifying fraudulent transactions, and optimizing inventory management. - Data Analytics Training in Ameerpet

Market Basket Analysis: Data mining techniques such as association rule mining are used to analyze transactional data and identify patterns of co-occurrence among items purchased together. This information is used for cross-selling, upselling, and optimizing product placement.

Risk Management: Data mining is used to assess and mitigate risks in various domains, including finance, insurance, healthcare, and cybersecurity. This includes detecting fraudulent activities, assessing creditworthiness, predicting disease outbreaks, and identifying security threats.

Text Mining and Sentiment Analysis: Data mining techniques are applied to unstructured text data from sources such as social media, customer reviews, and surveys to extract insights about public opinion, sentiment, and trends. This information is used for brand monitoring, reputation management, and market intelligence. - Data Analytics Course in Hyderabad

Healthcare Analytics: Data mining is used in healthcare to analyze electronic health records, medical imaging data, and genomic data to improve patient outcomes, optimize treatment plans, and identify patterns of disease prevalence.

Supply Chain Optimization: Data mining is used to optimize supply chain operations by analyzing data from suppliers, manufacturers, distributors, and retailers to improve demand forecasting, inventory management, and logistics planning.

Conclusion:

In summary, data mining plays a crucial role in data analytics by uncovering hidden patterns, trends, and insights from large datasets, which can be leveraged to drive informed decisions, optimize business processes, and achieve strategic objectives across various domains and industries.

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Data Life Cycle: Power of Big Data Analytics

Introduction:

Big Data analytics comes into play, offering a structured approach to extract actionable insights from large and complex datasets. At the heart of Big Data analytics lies the Data Life Cycle, a systematic process that guides organizations from data acquisition to deriving valuable insights. - Data Analytics Online Training

Data Acquisition: The journey begins with data acquisition, where organizations gather raw data from various sources such as social media, sensors, transactional systems, and more. This stage involves identifying relevant data sources, collecting data in real-time or batch processes, and ensuring data quality and integrity. While coding may be employed for custom integrations or complex data transformations, many tools offer intuitive interfaces for data ingestion and integration, allowing users to connect to different data sources seamlessly. - Data Analytics Course in Hyderabad

Data Storage: Once data is acquired, it needs to be stored efficiently for future processing and analysis. Traditional relational databases may struggle with the scale and complexity of Big Data, leading to the adoption of distributed storage systems like Hadoop Distributed File System (HDFS) or cloud-based solutions such as Amazon S3 and Google Cloud Storage. These platforms provide scalable storage capabilities without requiring users to write extensive code for managing data infrastructure.

Data Processing: Data processing involves transforming raw data into a format suitable for analysis. This stage includes tasks like cleaning, filtering, aggregating, and structuring data to uncover meaningful patterns and trends. While coding languages like Python and R are commonly used for data processing tasks, visual data preparation tools like Apache NiFi, Talend, or Alteryx offer drag-and-drop interfaces, allowing users to perform complex data transformations without writing code. - Data Analytics Online Training in India

Data Analysis: With data prepared and processed, the next step is to perform analytics to extract insights and derive value. While statistical programming languages like R and Python are popular choices for data analysis, modern analytics platforms such as Tableau, Power BI, and Google Data Studio provide intuitive interfaces for creating visualizations, dashboards, and reports. These tools enable users to explore data interactively, uncovering hidden patterns and correlations without the need for extensive coding skills.

Insight Generation: The final stage of the Data Life Cycle involves interpreting the analysis results to derive actionable insights. Here, business users collaborate with data analysts and domain experts to translate findings into strategic decisions and operational improvements. Advanced analytics techniques like machine learning and predictive modeling may be employed to forecast future trends and outcomes, guiding organizations towards data-driven decision-making. - Data Analytics Course Online

Conclusion:

In conclusion, Big Data analytics offers a transformative approach to harnessing the power of data across its life cycle. By understanding and navigating the stages of the Data Life Cycle, organizations can unlock valuable insights without the need for extensive coding expertise.

Visualpath is the Leading and Best Institute for learning Data Analytics Online in Ameerpet, Hyderabad. We provide Data Analytics Online Training Course, and you will get the best course at an affordable cost.

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Visualpath provides Data Analytics Online Training Institute in Ameerpet with complete real-time based Training by Real Time Experts. Enroll Now for FREE DEMO..!. Contact us: +91-9989971070.

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Visit: https://www.visualpath.in/data-analytics-online-training.html

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Data Analytics Online Training in India

Visualpath provides the Best Data Analytics Online Training by real-time faculty from Top MNCs. We are providing Data Analytics Online Course in Hyderabad as well as the USA, UK, Canada, Dubai, and Australia. You can schedule a free demo by contacting us at +91-9989971070.

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Data Analytics Online Training in India

The Importance of Data Visualization in Data Analytics

Introduction:

Data Analytics world, the abundance of information generated across various industries presents both opportunities and challenges. Raw data, when properly analyzed, holds valuable insights that can drive informed decision-making and strategic planning. However, the sheer volume and complexity of data can often overwhelm analysts, making it difficult to extract meaningful conclusions effectively. - Data Analytics Online Training

Understanding Data Visualization:

Data visualization is the graphical representation of data and information. It involves the use of visual elements such as charts, graphs, and maps to convey complex concepts, patterns, and trends in a clear and intuitive manner. By translating raw data into visual formats, analysts can uncover hidden patterns, identify correlations, and communicate insights more effectively.

The Importance of Data Visualization in Data Analytics:

Enhances Understanding and Interpretation:

Humans are inherently visual beings, and we process visual information more efficiently than text or numbers alone. Data visualization transforms abstract data points into visual cues that are easier to comprehend and interpret. Complex datasets can be distilled into visually appealing charts or graphs, allowing analysts to grasp trends and relationships at a glance. This enhances understanding and facilitates faster decision-making based on insights derived from the data. - Data Analytics Online Training in India

Facilitates Communication and Collaboration:

Effective communication of insights is essential for driving organizational change and influencing decision-making processes. Data visualization serves as a universal language that enables stakeholders across different departments or levels of an organization to grasp complex concepts quickly.

Enables Exploration and Discovery:

Data visualization encourages exploration and discovery within datasets by providing interactive tools for analysis. With the ability to drill down into specific data points or filter information based on various criteria, analysts can uncover hidden insights and trends that may not be apparent at first glance. - Data Analytics Course in Hyderabad

Supports Data-Driven Decision Making:

Data visualization plays a crucial role in this process by providing decision-makers with actionable insights derived from data analysis. Whether it's identifying market trends, optimizing operational processes, or predicting customer behavior, visual representations of data enable organizations to make informed decisions backed by empirical evidence.

Enhances Storytelling and Persuasion:

By incorporating visual elements into narratives, analysts can create persuasive arguments that convey the significance of the insights derived from the data. Whether it's persuading stakeholders to invest in a new initiative or convincing customers of the value proposition of a product or service, data visualization adds a persuasive dimension to storytelling. - Data Analytics Training Institutes in Hyderabad

Conclusion:

In conclusion, data visualization is a powerful tool in the arsenal of data analytics, enabling analysts to unlock the full potential of data and derive actionable insights.

Visualpath is the Leading and Best Institute for learning Data Analytics Online in Ameerpet, Hyderabad. We provide Data Analytics Online Training Course, and you will get the best course at an affordable cost.

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Data Analytics Training | Hyderabad

What Is Tableau and How Is It Used by Data Analysts?

Introduction:

Data Analysts to extract actionable insights from these data troves. However, raw data is often complex and difficult to interpret. This is where Tableau comes into play, revolutionizing the way data analysts visualize and analyze data. - Data Analytics Online Training

What is Tableau?

Tableau is a powerful data visualization tool that enables users to transform raw data into interactive and visually appealing dashboards, reports, and charts. Founded in 2003, Tableau has become a cornerstone in the realm of business intelligence and analytics, empowering organizations to unlock the value hidden within their data. - Data Analytics Course in Hyderabad

The Role of Tableau in Data Analysis:

Data Visualization: Tableau allows analysts to create visually stunning charts, graphs, and maps that effectively communicate insights. Whether it's sales trends, customer demographics, or market segmentation, Tableau empowers analysts to present data in a compelling and understandable manner.

Exploratory Analysis: With Tableau's intuitive drag-and-drop interface, analysts can explore datasets effortlessly. By simply dragging variables onto the canvas, analysts can uncover patterns, correlations, and outliers, facilitating deeper insights into the underlying data. - Data Analytics Training

Dashboard Creation: Tableau excels in dashboard creation, enabling analysts to consolidate multiple visualizations into a single, interactive dashboard. This consolidated view provides stakeholders with a holistic understanding of key metrics and performance indicators, facilitating data-driven decision-making.

Data Blending: Tableau's data blending capabilities allow analysts to seamlessly integrate data from multiple sources. Whether it's SQL databases, Excel spreadsheets, or cloud-based repositories, Tableau empowers analysts to blend disparate datasets into a cohesive analysis, providing a comprehensive view of the business landscape. - Data Analytics Course Online

Predictive Analytics: While Tableau is primarily known for its data visualization prowess, it also offers advanced analytics capabilities. Through integrations with statistical modeling tools like R and Python, analysts can perform predictive analytics directly within Tableau, forecasting future trends and outcomes based on historical data.

Advantages of Tableau for Data Analysts:

Ease of Use: Tableau's user-friendly interface requires minimal technical expertise, allowing analysts to focus on analysis rather than navigating complex software.

Interactivity: Tableau enables users to interact with visualizations in real-time, drilling down into data points for deeper insights and understanding.

Scalability: From small businesses to Fortune 500 companies, Tableau scales effortlessly to meet the needs of organizations of all sizes.

Community Support: Tableau boasts a vibrant community of users, providing access to resources, forums, and knowledge sharing opportunities.

Conclusion:

By facilitating intuitive data visualization, exploratory analysis, and predictive analytics, Tableau empowers analysts to transform raw data into actionable insights that drive informed decision-making.

Visualpath is the Leading and Best Institute for learning Data Analytics Online in Ameerpet, Hyderabad. We provide Data Analytics Online Training Course, and you will get the best course at an affordable cost.

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Data Analytics Online Course | India

SQL for Data Analytics: Tutorial

Introduction:

Data Analysis While SQL is often associated with coding, there are ways to leverage its capabilities without diving into complex programming. In this article, we'll explore how you can harness the power of SQL for data analysis without writing a single line of code. - Data Analytics Online Training

SQL's Role in Data Analysis:

SQL is a standard language for managing and manipulating relational databases. Its simplicity and effectiveness make it an indispensable tool for data professionals across various industries. Typically, SQL queries are used to retrieve, update, or manipulate data stored in databases.

However, SQL's utility extends beyond traditional database management tasks. With the right approach, it can serve as a robust platform for conducting complex data analyses, ranging from simple aggregations to advanced statistical operations. - Data Analytics Course in Hyderabad

Utilizing SQL-Based Analytical Tools:

One of the most accessible ways to perform data analysis with SQL is through the use of SQL-based analytical tools. These tools provide graphical user interfaces (GUIs) that allow users to construct SQL queries visually, without needing to write code manually.

Popular examples of SQL-based analytical tools include Microsoft Power BI, Tableau, and Mode Analytics. These platforms offer intuitive interfaces that enable users to drag and drop elements to build queries, create visualizations, and explore data interactively.

By leveraging these tools, users can harness the full power of SQL for data analysis tasks without the need for coding expertise. This democratizes access to data insights and empowers non-technical users to derive value from complex datasets. - Data Analytics Online Training Institute

Harnessing SQL for Data Exploration and Visualization:

SQL's querying capabilities make it an ideal tool for data exploration and visualization. With SQL, users can efficiently filter, aggregate, and manipulate datasets to uncover patterns and trends. By combining SQL queries with visualization libraries such as Matplotlib or Plotly, analysts can create insightful charts and graphs that communicate findings effectively.

For example, analysts can use SQL to calculate key performance indicators (KPIs) such as revenue, customer acquisition cost, or churn rate. By visualizing these metrics over time or across different segments, organizations can gain valuable insights into their business performance and make informed decisions. - Data Analysis Online Training Course

Furthermore, SQL's support for joins and subqueries enables analysts to combine data from multiple sources seamlessly. Whether it's integrating sales data with marketing campaigns or correlating customer demographics with purchasing behavior, SQL provides the flexibility to conduct sophisticated analyses with ease.

Conclusion:

In conclusion, SQL is a versatile tool that holds tremendous potential for data analysis, even without writing code. By leveraging SQL-based analytical tools and techniques, organizations can unlock valuable insights from their data and drive informed decision-making.

Visualpath is the Leading and Best Institute for learning Data Analytics Online in Ameerpet, Hyderabad. We provide Data Analytics Online Training Course, and you will get the best course at an affordable cost.

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Data Analytics Online Training

Visualpath provides the Best Data Analytics Online Training by real-time faculty from Top MNCs. We are providing Data Analytics Online Course in Hyderabad as well as the USA, UK, Canada, Dubai, and Australia. You can schedule a free demo by contacting us at +91-9989971070.

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Data Analysis Online Training | Visualpath

Data Analysis with Pandas: A Guide to Data Manipulation

Introduction:

Data Analysis, efficiency and accuracy are paramount. Organizations across various industries rely on robust tools to manipulate, transform, and derive insights from their datasets swiftly. Pandas, a Python library, has emerged as a popular choice for data manipulation and analysis due to its versatility and ease of use. - Data Analytics Online Training

Powerful Data Manipulation Tool:

Pandas is an open-source Python library that provides high-performance data structures and toolsfordata analysis. It offers powerful data manipulation capabilities, enabling users to perform a wide range of tasks, including cleaning, transforming, aggregating, and visualizing datasets.

Benefits of Data Manipulation with Pandas:

Efficiency: Pandas simplifies complex data manipulation tasks, allowing users to perform operations with just a few lines of code. Its built-in functions and methods enable swift processing of large datasets, enhancing productivity and reducing analysis time. - Data Analytics Course in Hyderabad

Flexibility: With Pandas, users have the flexibility to manipulate data in various formats, including CSV, Excel, SQL databases, and more. Its compatibility with different data sources makes it a versatile tool for handling diverse datasets encountered in real-world scenarios.

Data Cleaning: Data quality is crucial for accurate analysis. Pandas provides a wide range of functions for cleaning and preprocessing data, including handling missing values, removing duplicates, and standardizing formats. By automating these tasks, users can ensure that their datasets are clean and consistent, laying the foundation for reliable analysis.

Data Transformation: Pandas offers powerful tools for transforming and reshaping data, such as merging, grouping, and pivoting. These operations allow users to aggregate information, perform calculations, and derive insights from raw data effectively. - Data Analysis Online Training Course

Leveraging Pandas for Data Manipulation Without Coding:

While Pandas is primarily used in Python programming, there are user-friendly interfaces and platforms that enable data manipulation without writing code. Here's how businesses can leverage Pandas for data analysis without coding:

Graphical User Interfaces (GUIs): Several GUI-based tools, such as Jupyter Notebooks and Google Colab, provide interactive environments for data analysis using Pandas. These platforms offer point-and-click interfaces and intuitive menus that allow users to perform data manipulation tasks without writing code.  - Data Analytics Course Online

No-Code Data Analysis Platforms: There are also dedicated no-code data analysis platforms that leverage Pandas under the hood to provide intuitive interfaces for data manipulation. These platforms offer drag-and-drop functionality, pre-built templates, and automation capabilities that enable users to perform complex analysis tasks without any coding knowledge.

Conclusion:

Pandas has revolutionized the field of data analysis by providing powerful tools for data manipulation and exploration. While it is commonly used in Python programming, there are accessible ways for non-technical users to leverage its capabilities for data analysis without writing code.

Visualpath is the Leading and Best Institute for learning Data Analytics Online in Ameerpet, Hyderabad. We provide Data Analytics Online Training Course, and you will get the best course at an affordable cost.

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A Complete Tutorial on What is Data Analytics?

Introduction:

Data analytics is the process of examining large datasets to uncover hidden patterns, correlations, trends, and other useful information. It involves the application of various techniques and tools to interpret data and make informed decisions. Data analytics enables organizations to gain valuable insights that can drive strategic actions, optimize processes, and enhance performance. - Data Analytics Online Training

The Components of Data Analytics:

Data Collection:

The first step in data analytics is collecting relevant data from various sources. This could include structured data from databases, unstructured data from social media, or semi-structured data from sensors and IoT devices. Ensuring data quality and reliability is crucial at this stage to produce accurate insights.

Data Cleaning and Preprocessing:

Once data is collected, it often requires cleaning and preprocessing to remove inconsistencies, errors, and outliers. This step involves tasks such as handling missing values, standardizing formats, and normalizing data to make it suitable for analysis. - Data Analytics Course in Hyderabad

Data Analysis:

The heart of data analytics lies in data analysis, where statistical techniques, machine learning algorithms, and data visualization tools are applied to uncover patterns and trends within the data. Descriptive analytics focuses on summarizing past data, while predictive analytics predicts future outcomes, and prescriptive analytics provides recommendations for actions.

Interpretation and Visualization:

After analyzing the data, the next step is to interpret the findings and communicate them effectively. Data visualization plays a crucial role in this process, as it helps stakeholders grasp complex information quickly and make data-driven decisions. Charts, graphs, and dashboards are commonly used to visualize insights. - Data Analysis Online Training Course

The Importance of Data Analytics:

Informed Decision-Making:

Data analytics empowers organizations to make informed decisions based on evidence rather than intuition or guesswork. By analyzing historical data and predicting future trends, businesses can anticipate market demands, optimize resource allocation, and mitigate risks effectively.

Improved Efficiency and Performance:

By identifying inefficiencies and bottlenecks in processes, data analytics enables organizations to streamline operations and improve overall performance. Whether it's optimizing supply chains, enhancing customer service, or increasing production efficiency, data-driven insights drive continuous improvement. - Data Analytics Training in Ameerpet

Enhanced Customer Experience:

Understanding customer behavior and preferences is essential for delivering personalized experiences and building long-term relationships. Data analytics allows businesses to segment customers, analyze their interactions, and tailor products and services to meet their needs effectively.

Conclusion:

Data analytics has emerged as a powerful tool for organizations seeking to unlock the value of their data. By harnessing the power of advanced analytics techniques, businesses can gain actionable insights, improve decision-making, and drive innovation.

Visualpath is the Leading and Best Institute for learning Data Analytics Online in Ameerpet, Hyderabad. We provide Data Analytics Online Training Course, and you will get the best course at an affordable cost.

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Data Analytics Training | Hyderabad

Principles for Visualization with Tableau

Introduction:

Data analytics is the process of examining raw data to uncover insights, trends, and patterns that inform decision-making and drive business strategy. As businesses and organizations grapple with increasingly large and complex datasets, the role of visualization tools becomes indispensable. Among the plethora of options available, Tableau stands out as a powerful platform for creating compelling data visualizations. - Data Analytics Online Training

Clarity and Simplicity: The cardinal rule of data visualization is clarity. Your visualization should convey information clearly and concisely. Avoid cluttering the dashboard with unnecessary elements. Tableau offers a range of tools to simplify your visualizations, such as filters, tooltips, and highlighting.

Consistency: Consistency fosters familiarity and comprehension. Maintain consistency in color schemes, fonts, and layout across your visualizations and dashboards. This ensures a seamless user experience and facilitates easy comparison between different elements of your data. - Data Analytics Course Online

Effective Use of Color: Color is a potent tool for conveying information and evoking emotions. However, it can also overwhelm or confuse if used haphazardly. Choose a color palette that aligns with your data and the story you want to tell. Utilize color strategically to highlight key insights or patterns while ensuring accessibility for all users, including those with color vision deficiencies.

Storytelling: Data visualization is more than just presenting facts; it's about telling a compelling story. Tableau offers storytelling features like dashboard actions, annotations, and storytelling sheets to weave narratives around your data. Structure your visualizations to guide the audience through a logical sequence of insights, building intrigue and engagement along the way.

Interactivity: Interactivity empowers users to explore data on their own terms, fostering a deeper understanding of insights. Leverage Tableau's interactive features such as filters, parameters, and drill-down capabilities to enable users to interact with your visualizations dynamically. - Data Analytics Course in Hyderabad

Whitespace and Layout: Whitespace, or negative space, is a vital yet often overlooked aspect of design. Use whitespace strategically to create visual hierarchy and emphasize important elements. Thoughtfully arrange components on your dashboard to guide the viewer's eye smoothly from one point of interest to another.

Data Integrity and Accuracy: Trust is fundamental in data-driven decision-making. Ensure that your visualizations accurately represent the underlying data without distortion or misrepresentation. - Data Analysis Online Training

Performance Optimization: A visually stunning dashboard is ineffective if it's sluggish or unresponsive. Optimize the performance of your Tableau visualizations by minimizing data queries, optimizing data connections, and simplifying calculations.

Conclusion:

In conclusion, mastering Tableau for data visualization requires more than technical proficiency; it demands a nuanced understanding of design principles. By prioritizing clarity, consistency, storytelling, and user-centricity, you can craft engaging and insightful data stories that drive informed decision-making.

Visualpath is the Leading and Best Institute for learning Data Analytics Online in Ameerpet, Hyderabad. We provide Data Analytics Online Training Course, and you will get the best course at an affordable cost.

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Call on - +91-9989971070.

Visit : https://www.visualpath.in/data-analytics-online-training.html

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Data Analytics Course in Hyderabad

Visualpath provides the Best Data Analytics Online Training by real-time faculty from Top MNCs. We are providing Data Analytics Online Course in Hyderabad as well as the USA, UK, Canada, Dubai, and Australia. You can schedule a free demo by contacting us at +91-9989971070.

WhatsApp: https://bit.ly/47eayBz

Visit: https://www.visualpath.in/data-analytics-online-training.html

Blog: https://dataanalyticsonlinecourse.blogspot.com

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Data Analysis Online Training Course

Visualpath provides the best Data Analytics Online training classes by real-time faculty with real-time Projects. We are providing Data Analytics Training Demanded in the USA, UK, Canada, India, and Australia. Call on +91-9989971070. 

WhatsApp: https://bit.ly/47eayBz

Visit: https://www.visualpath.in/data-analytics-online-training.html

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