Hey, my dear friends of Ghaziabad! Are you excited to start your coding career? If you’re searching for the Best Data Analytics training institute in Lucknow to begin your journey into Data Analytics , we’ve got your back. Our aim is to assist you in finding a nearby training center that will help you achieve your coding goals and land a High Paying job at a good company. In this article, we’ll talk about course content, fee structure, placement partners, and duration of our Data Analytics training program. Let’s jump in and learn about Data Analytics together!
Let’s turn your coding dreams into reality together!
Call Now For Live Data Analytics Trainings: 9811128610
Data Analytics Training (Overview): DSSD
Duration | 6 Months |
Total No. of Classes | 3 Classes in a Week (150 Hours of Content) or Weekends Classes |
Training Mode | Online/Offline |
Course Type | Certification Program |
Course Fee | Call Now For more details: 9811128610 |
Location | 1st Floor, H-34/1, near, Ayodhya Chowk, Sector 3, Rohini, Delhi, 110085 |
Call Now For Live Data Analytics Trainings: 9811128610
Data Analytics Course Content & Modules: DSSD
Module 1: MS-EXCEL
- Data Importing and Cleaning:
- Importing data from various sources into Excel.
- Removing duplicates, filtering out irrelevant data, and correcting errors.
- Utilizing tools like Text to Columns, Remove Duplicates, and Find & Replace for data cleaning.\
- Data Organization:
- Structuring data tables using appropriate headers and formats.
- Grouping and outlining data for better organization and analysis.
- Utilizing Excel’s tables and named ranges for easier referencing and analysis.
- Data Analysis Tools:
- Basic statistical functions like SUM, AVERAGE, MIN, MAX for quick insights.
- PivotTables for dynamic data summarization and cross-tabulation.
- Conditional formatting to visually highlight important trends or outliers.
- Using Data Validation to ensure data integrity and consistency.
Module 2: VBA (VISUAL BASIC)
- Automating Data Manipulation:
- Writing VBA macros to automate repetitive tasks such as data cleaning, formatting, and restructuring.
- Using loops and conditional statements to perform complex data manipulations efficiently.
- Advanced Data Analysis:
- Implementing custom algorithms and statistical methods in VBA for specialized data analysis tasks.
- Leveraging VBA functions to calculate advanced metrics, perform regression analysis, or conduct time series forecasting.
- Integration with External Data Sources:
- Connecting to external databases, APIs, or web services using VBA to fetch data for analysis.
- Importing data from text files, CSV files, or other formats into Excel using VBA scripts.
- Dynamic Reporting and Visualization:
- Generating dynamic reports and dashboards by manipulating data with VBA and updating charts, tables, and graphs accordingly.
- Creating interactive user interfaces using VBA forms to facilitate data analysis and visualization.
Module 3: POWER BI
- Introduction to Power BI: Explain what Power BI is – a powerful business analytics tool developed by Microsoft for analyzing data and sharing insights.
- Data Import: Discuss how Power BI can import data from various sources including Excel, databases, cloud services, and web APIs. It allows users to connect to and consolidate data from multiple sources for analysis.
- Data Modeling: Highlight Power BI’s ability to model and shape data using its intuitive interface. Users can create relationships between different data tables, define calculated columns and measures, and transform data using Power Query Editor.
- Visualization: Emphasize the importance of visualization in data analytics and how Power BI offers a wide range of interactive visualizations such as charts, graphs, maps, and tables. Users can customize and format visuals to effectively present insights.
Module 4: Tableau
- Introduction to Tableau: Provide an overview of Tableau as a powerful data visualization tool that allows users to create interactive and insightful visualizations from their data.
- Data Connection: Explain how Tableau can connect to various data sources including databases, spreadsheets, cloud services, and web data connectors. Users can easily import and blend data from multiple sources for analysis.
- Drag-and-Drop Interface: Highlight Tableau’s intuitive drag-and-drop interface that enables users to quickly create visualizations without the need for coding. Users can simply drag fields onto shelves to generate visualizations.
- Interactive Dashboards: Discuss how Tableau allows users to create interactive dashboards by combining multiple visualizations onto a single canvas. Dashboards can be customized with filters, parameters, and actions to facilitate exploration and analysis.
Module 5: SQL
- Introduction to SQL: Provide an overview of SQL as a standard programming language for managing and manipulating relational databases.
- Data Retrieval: Explain how SQL is used to retrieve data from databases using queries such as SELECT statements. Users can specify the columns and conditions to filter the data they need.
- Data Filtering and Sorting: Highlight SQL’s capability to filter and sort data using WHERE and ORDER BY clauses respectively. Users can narrow down the dataset based on specific criteria and arrange the results in a desired order.
- Data Aggregation: Discuss how SQL allows users to perform aggregation functions such as SUM, AVG, COUNT, MIN, and MAX to summarize data. These functions can be applied to groups of data using GROUP BY clauses.
Call Now For Live Data Analytics Trainings: 9811128610
Who can Join this Data Analytics Training Course in Lucknow : DSSD
- Beginners with no prior coding experience
- 10th or 12th-class students interested in learning Data Analytics and starting a career in Data Analytics
- Students pursuing degrees in computer science or related fields (BCA, B-Tech, M-Tech, BSC(IT), BSC (CS)
- Students pursuing Diploma Degree
- IT professionals looking to enhance their Data Analytics skills
- Entrepreneurs interested in building their websites
- Freelancers seeking to expand their skill set in Data Analytics
Call Now For Live Data Analytics Trainings: 9811128610
Career Options After Data Analytics : DSSD
After gaining proficiency in Data Analytics , there are numerous career paths you can pursue. Here are some of the most common career options
- Data Science: Data science is about using data to predict future trends, not just looking at past data like in data analytics. Data scientists use math, artificial intelligence, and other skills to solve complex problems in areas like finance, healthcare, and technology.
- Business Intelligence (BI) Consulting: BI consultants help companies make better decisions by turning data into useful information. They figure out important things to measure, create charts and graphs to show the data, and advise businesses on how to do better.
- Product Management: Product managers help make digital products better. With data skills, you can understand what customers want, decide what features to add to a product, and help make it successful.
- Quantitative Analyst (Quant): Quants use math and stats to understand financial markets and make smart investment choices. With data skills, you can work in finance and make decisions that help businesses grow.
- Digital Marketing and SEO: In digital marketing, data helps make decisions about how to get more people to visit websites. With your skills, you can work as an SEO specialist, helping websites show up higher in online searches.
- Healthcare Informatics: In healthcare, data helps improve patient care and make hospitals run better. With data skills, you can work with electronic health records and find ways to make healthcare better for everyone.
- Supply Chain Management: Companies need to make sure they have enough of their products and get them to customers on time. With data skills, you can help companies figure out how to do this more efficiently.
- Cybersecurity Analysis: With so many online threats, businesses need people to protect their data. With data skills, you can help detect and stop cyberattacks and keep businesses safe.
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Why join DSSD for Data Analytics Training Institute in Lucknow ?
- Vikas Sir, an experienced instructor, adeptly navigates various Data Analytics technologies like Advance Excel, SQL, PowerBI, Tableau equipping students with essential skills.
- State-of-the-art facilities and modern learning environment in Ghaziabad
- Hands-on projects and real-world applications to enhance practical skills.
- Personalized attention and small class sizes for better interaction.
- Career guidance and job placement assistance after completion of the course.
- Affordable fees and flexible timing options to suit diverse schedules.
- Accessible location in Ghaziabad with convenient transport links.
Best Data Analytics Training Institute in Lucknow
Delhi School of Skill Development (DSSD) is a place where you can learn all about computers and technology.
Are you searching for the Best Data Analytics training in Ghaziabad? Your search ends here at the Delhi School of Skill Development (DSSD). Our comprehensive courses are designed to equip you with the skills needed to excel in Data Analytics. With experienced instructors, hands-on learning, and a focus on practical skills, DSSD stands out as the top choice for Data Analytics training in Ghaziabad. Join us and take your first step towards a successful career in Data Analytics
Call Now For Live Data Analytics Trainings: 9811128610
How to Apply:
- Contact our Admission Counselor: The first step is to reach out to our admission counselor by calling us at 9811128610. Our counselor will provide you with all the necessary information regarding the courses we offer, admission requirements, fees, and any other queries you may have.
- Schedule Your Visit: After speaking with our admission counselor, you can schedule a visit to our institute. During this visit, you’ll have the opportunity to see our facilities, interact with our instructors, and get a feel for the learning environment.
- Fix Your Demo Session: During your visit, you’ll also have the option to schedule a demo session. This session will give you a glimpse into our teaching methodology, course structure, and the topics covered in the Data Analytics training program. It’s a great way to assess whether our institute meets your learning needs and expectations.
- Enroll for Classes: Once you’ve attended the demo session and are satisfied with what our institute has to offer, you can proceed to enroll for the Data Analytics training classes. Our admission counselor will guide you through the enrollment process and assist you with any documentation or formalities required.
- Fix Your Batch Timings: After enrolling for classes, you’ll need to finalize your batch timings. We offer flexible scheduling options to accommodate your preferences and ensure that you can attend classes at a time that suits you best.
Call Now For Live Data Analytics Trainings: 9811128610
Frequently Asked Questions:
What is the course content of the Data Analytics training program?
This 6 months Data Analytics training program includes fundamentals of fundamental of coding, basics of Data Analytics, advanced techniques, difficult problems, principles, and best practices in Data Analytics.
How much does the Data Analytics training program cost?
To know more about the fee structure for this 6 months practical Data Analytics training program, kindly call our admission counsellor on this mobile number 9811128610
How long does the Data Analytics training program last?
The program takes 6 months to complete, with classes held regularly.
Are there any prerequisites for enrolling in the Data Analytics training program?
No, prior experience is not required to learn Data Analytics. However, having a basic understanding of Data Analytics will be beneficial as Data Analytics builds upon these foundational web technologies.
Will I gain practical experience and work on projects during the training?
Yes, the 6 months Data Analytics program includes hands-on practice and project work to help you learn.
Can the Data Analytics training program be customized to individual learning goals?
Yes, there’s flexibility in the curriculum to meet your specific learning needs.
Is Data Analytics training suitable for beginners or experienced developers?
It’s suitable for both beginners and those with some experience in Data Analytics.
Are there any specific batches available for working professionals or students?
We offer flexible batch timings to cater to the needs of working professionals and students. Please inquire about our batch schedules to find one that suits your availability. (call Now: 9811128610)
Is there an option for online training or remote learning for students who cannot attend in-person classes?
Yes, we offer online training options for students who prefer remote learning or cannot attend in-person classes. Our online platform ensures seamless delivery of lectures, interactive sessions, and access to course materials.
Can students attend demo classes before enrolling in the Data Analytics training program?
Yes, we offer demo classes for prospective students to experience our teaching methodology, interact with instructors, and get a preview of the course content. Please contact us to schedule a demo class.
Who is the trainer delivering the Data Analytics training? What is their expertise and experience?
Our instructors are industry professionals with extensive experience in Data analytics. They are passionate about teaching and have a proven track record of guiding students through their learning journey.
Does the institute provide any placement assistance or career support after completing the Data Analytics course?
Yes, we provide 100% placement assistance to our students upon successful completion of the Data Analytics course. Our dedicated placement cell assists in resume building, interview preparation, and connecting students with job opportunities in relevant industries.
Do I need to bring my own laptop for the training?
Yes, it is advisable to bring your own laptop for hands-on practice during the training sessions. If you don’t have a laptop right now, you can use our computer during the training session. Make sure your laptop meets the minimum requirements specified by the training provider, such as a specific operating system and web browser.