Chhattarpur, Delhi, India - 110068
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Excellence Award Winner 2024
1st Jan 2024 - 30th June 2024
Data Analytics
UrbanPro Certified Tutor
For Data Analytics
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Analytics classes
7
Teaching Experience in detail in Data Analytics classes
I am a working professional with 7 years of experience into analytics. I have worked with tools like SQL, excel and many visualisation tools like powerbi, tableau, Google data studio, quicksight and superset
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Tableau Training
5
Teaching Experience in detail in Tableau Training
I have created multiple dashboards in tableau. Here is a one of the early dashboards https://public.tableau.com/app/profile/gerryson.mehta/viz/SampleSuperStoreGerryson/SalesDash
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Visualization Training
7
Teaching Experience in detail in Data Visualization Training
With over 7 years of experience I have used multiple tools in my career starting from Google data studio , powerbi to tableau, superset and quicksight
4.9 out of 5 8 reviews
Sohit
"Sir has good understanding of concepts and made them clear to students. Course is holistic and well planned. "
Krishan
Data Analytics
"Excellent work in this field and having a very good experience in this and wonderful response in this work. "
Smriti
Data Analytics
"Sir teach in an interesting manner. I found these classes very helpful. Anyone who is interested in data analytic must attend this class. It will improve you skills in this field. "
Parteek Kumar
Data Analytics
"I have studied data analytics course here. I have a good experience. Teaching methods of sir is very interesting. "
Nisha Rani
"The course provided was good and well structured. The overall experience and learning was very good. Gerry Sir is very knowledgeable and has the talent to make tricky things simple and easy to understand. His behaviour is nice and friendly and he is always ready to clarify doubts and provide assistance. I feel confident in my data science skills and am well-equipped to tackle challenges in the field. Thankyou so much sir for your support! "
Jatin Thakur
Data Analytics
"Awesome experience, got to learn the real industrial knowledge and one which can help me grow. Really had a great time with this course. Recommend! "
Seema
Microsoft Excel Training Requirement for :Advanced Excel
"It was great learning with Mr Gerry to grasp the advance excel in short and effective time. Happy and recommended. "
Mrinal Thakur
Data Analytics
"The content was well-structured, the explanations were clear, and the hands-on projects were valuable in applying the concepts. Highly recommended! "
Answered 2 days ago Learn Functional Training/Data Analytics
### Requirements for Big Data Analytics:
1. **Data Sources:** Large volumes of data from various sources like social media, sensors, and databases.
2. **Data Storage:** Scalable storage solutions such as Hadoop Distributed File System (HDFS) or cloud storage like AWS S3.
3. **Data Processing Tools:** Technologies like Apache Spark and Hadoop to process and manage large datasets.
4. **Data Analysis Tools:** Software for statistical analysis and machine learning, such as R, Python, and SQL.
5. **Data Visualization Tools:** Platforms like Tableau, Power BI, or custom dashboards to visualize insights.
6. **Infrastructure:** High-performance computing resources and scalable cloud services.
### Summary:
Big data analytics requires robust storage, processing, and analysis tools to handle and make sense of large volumes of data.
Answered 2 days ago Learn Functional Training/Data Analytics
### Differences Between Analytics and Analysis:
1. **Data Analysis:**
- **Focus:** Examines data to understand past and current trends.
- **Process:** Includes data cleaning, summarizing, and interpreting to uncover insights.
- **Outcome:** Provides specific answers or insights from data.
2. **Data Analytics:**
- **Focus:** Uses data analysis techniques along with advanced tools to support decision-making.
- **Process:** Involves not only analyzing data but also applying algorithms, predictive modeling, and visualization.
- **Outcome:** Provides comprehensive insights and recommendations to inform business strategies and decisions.
### Summary:
- **Analysis** is the act of examining data.
- **Analytics** is a broader process that includes analysis, along with advanced techniques for deeper insights and decision support.
Answered 2 days ago Learn Functional Training/Data Analytics
Big data analytics involves analyzing vast amounts of complex data to uncover patterns, correlations, and trends. It typically includes:
1. **Data Collection:** Gathering data from various sources, such as social media, sensors, and transactions.
2. **Data Processing:** Using technologies like Hadoop and Spark to handle large datasets.
3. **Data Analysis:** Applying statistical methods, machine learning, and algorithms to find insights.
4. **Data Visualization:** Creating charts and dashboards to represent findings clearly.
### Summary:
Big data analytics helps organizations make sense of massive amounts of data to drive decisions and uncover valuable insights.
Answered 2 days ago Learn Functional Training/Data Analytics
### Current Technologies in Data Analytics:
1. **Big Data Technologies:** Tools like Hadoop and Spark handle large-scale data processing and analysis.
2. **Data Visualization Tools:** Software like Tableau and Power BI create interactive dashboards and visualizations.
3. **Data Warehousing:** Solutions like Amazon Redshift and Snowflake store and manage large volumes of data.
4. **Machine Learning:** Libraries and frameworks like TensorFlow and Scikit-learn for predictive modeling.
5. **SQL Databases:** Systems like MySQL and PostgreSQL for querying and managing relational data.
6. **Cloud Analytics:** Platforms like Google Cloud and Azure provide scalable analytics services.
7. **Data Integration Tools:** Tools like Talend and Apache Nifi integrate data from various sources.
### Summary:
These technologies help collect, process, visualize, and analyze data efficiently.
Answered 2 days ago Learn Functional Training/Data Analytics
No, data science and data analytics are not the same:
1. **Data Science:**
- **Focus:** Building predictive models and algorithms.
- **Skills:** Programming, machine learning, advanced statistical methods.
- **Goal:** Create new tools and techniques for understanding and predicting trends.
2. **Data Analytics:**
- **Focus:** Analyzing historical and current data to find insights.
- **Skills:** Statistical analysis, data visualization, reporting.
- **Goal:** Interpret data to support decision-making and understand patterns.
### Summary:
- **Data Science** involves creating models and algorithms for predictions.
- **Data Analytics** focuses on analyzing and interpreting data for insights.
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