Data Analytics Certification Course in Gurgaon
Master Azure Cloud and get prepared for Azure official certifications with our role based courses tailored to your specific needs
- Enroll for Data Cloud Architecture, BI Developer, Data Analytics, AI / ML, Data Engineering and Data Modelling Certifications
- Experience blended learning through interactive offline and online sessions.
- Job Assured Course
- Course Duration - 2 months
- Get Trained from Industry Experts
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Active interaction in sessions guided by leading professionals from the industry
Gain professionals insights through leading industry experts across domains
Enhance your career with 42+ in-demand skills and 20+ services
Data Analytics Course Overview
This Data Analytics live-learning courses cover deep into Data designing, developing, deploying, and managing scalable solutions and Data infrastructure across Data platforms, equipping you for success in today’s fast-evolving technology landscape
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Get prepared for 6+ Data Analytics official certifications with our role based courses tailored to your specific needs
- Engage with real-world capstone projects
- Engage in live virtual classes led by industry experts, complemented by hands-on projects
- Learn 42+ In-Demand Skills & 20+ Services
- Job interview rehearsal sessions
Basic, high-level knowledge of Data warehousing & Data Modelling Concepts and terminology. Ideal starting point for Data Analytics Certification for those with no prior IT/cloud experience transitioning to cloud careers, or business professionals seeking foundational cloud literacy.
Familiarity with Data Warehouse, Data Pipelines (DL), and Data Modelling fundamentals and real-world applications
What is Data Analytics Certified Developer?
Data Analytics Certified are essential for driving Data innovation in Data driven Pipeline development and testing. They manage the full Data lifecycle—Visualize Data apps, building and maintaining Data pipelines for key business decisions & automating BI development and testing processes. By streamlining Data workflows and resolving challenges in Data Apps on cloud, and maintenance, they help organizations deliver reliable, high-performance applications faster and more efficiently.
The role of Data Analytics Certified Developer ?
Data Analytics Certified Developer in Data development and testing oversees the end-to-end lifecycle of Data applications, from development to deployment and system performance optimization. Key responsibilities include:
Exploring Emerging Technologies: Leveraging Data technologies and Data Visualization techniques to enhance efficiency and streamline Data Viz workflows.
Scalable Data, AI & Data Driven Apps Development: Designing and implementing Data driven applications that address critical business needs.
Seamless Deployment: Coordinating Data Driven deployment of pipelines with infrastructure management for smooth delivery.
Data Workflow Optimization: Creating, analyzing, and refining automation scripts and deployment of Data Viz workflows to maximize productivity.
For Data Analytics professionals aspiring to excel in this field, the Success Aimers Data Analytics Developer Course provides hands-on training to master these skills. The program equips you to confidently manage Data deployment lifecycles, Data pipelines automation, and Data Viz processes, positioning you as a high-impact Data Analytics Certified Developer in Data development and testing.”**
Who should take this Data Analytics Certified Developer course?
The Data Analytics Certified Developer Course is tailored for Data Analytics professionals aiming to accelerate their careers in Cloud, data, and technology-driven sectors. It is particularly valuable for roles including:
Data Team Leaders
Data and BI Developers
Data Cloud Engineers and IT Managers
Data Cloud & BI Engineers
Data Cloud Researchers and ETL Engineers
This program equips participants with the skills to lead Data & Reporting initiatives, implement advanced Data Analytics workflows, and drive innovation in ETL development and testing.
What are the prerequisites of Data Analytics Certified Developer Course?
Prerequisites for the Data Analytics Certified Cloud Engineer Certification Course”
To ensure a seamless learning experience, candidates are expected to have:
Educational Background: An undergraduate degree or high school diploma in a relevant field.
Technical Foundation: Knowledge of IT, Data development, or data science fundamentals.
Programming Skills: Basic proficiency in languages such as Python or JavaScript.
Cloud Familiarity: Experience with cloud platforms like AWS or Microsoft Azure.
Meeting these prerequisites enables learners to effectively grasp advanced Cloud concepts, including Data Viz tool, Data pipeline workflows, Data App deployment, and automation throughout the course.
What are the prerequisites of Data Analytics Certified Developer Course?
- Data Analytics Certified Cloud Engineer
- Data Analysts Engineer
- Data Cloud Manager
- Data Automation Engineer
- Data Cloud Engineer /Data Cloud Architect
- Data Analyst Engineer
- Data Cloud Engineer
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 3 months | 4 months | 1 month |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
Data Analytics Course Curriculum
This Data Analytics Certification training enhances your career after choosing the relevant certification path based on the roles. You can practice with hands-on labs and capstone projects and gain proficiency with Data Analytics tools. After completion of the course, you can leverage Job assistance services and enhance career prospects.
Below are the leading cloud career roles and the corresponding Data Analytics certification path. You can choose the role(s) that progress your Data Analytics certification journey toward your goals. These learning paths are recommendations, not requirements.
Python Course
Python courses deliver essential training in programming fundamentals, covering syntax, variables, data types, control structures (if/else, loops), functions, modules, and core data structures like lists, tuples, dictionaries, and sets. They emphasize file handling, exception management, object-oriented programming (classes, inheritance, polymorphism), and practical applications in automation, web scraping with libraries like Requests and BeautifulSoup, API integration, multithreading, and system scripting. Hands-on projects focus on building robust scripts for real-world tasks, preparing learners for roles like Python developer or automation specialist
SQL Course
SQL and PL/SQL courses deliver essential training in database programming, covering SQL fundamentals like Functions, Subqueries, and SQL Views for efficient data retrieval and manipulation, alongside advanced PL/SQL constructs such as Stored Procedures and User-defined Functions for modular, reusable code. They emphasize SQL Optimization & Performance Tuning techniques to enhance query speed, Database Objects Design & Implementation including tables, indexes, and triggers, and Database Concurrency management through transactions, locking, and isolation levels. Hands-on projects focus on building scalable database solutions for real-world applications, preparing learners for roles like database developers
Exploratory Data Analysis
Exploratory Data Analysis (EDA) courses using NumPy and Pandas equip data professionals with skills to inspect, clean, and visualize datasets for key insights prior to modeling. Participants master Pandas DataFrames for data loading, missing value treatment, summary statistics, grouping, aggregation, and correlation analysis, complemented by NumPy for efficient array operations, normalization, and outlier detection. Hands-on projects emphasize univariate and bivariate visualizations, feature engineering, and pattern discovery using Matplotlib and Seaborn, building foundational expertise for data science pipelines and machine learning preparation
Power BI Course
Power BI courses provide hands-on training in Microsoft’s business analytics tool for transforming raw data into interactive visualizations, dashboards, and reports. Key topics include data connectivity from sources like Excel, SQL, and cloud services, Power Query for ETL (extract, transform, load) processes, data modeling with relationships and DAX formulas for calculations, and creating visuals like charts, maps, tables, and slicers. Advanced modules cover Power BI Service for publishing/sharing, row-level security, gateways for refresh, AI visuals, and mobile optimization, enabling professionals to deliver actionable insights for decision-making in roles like data analyst or BI developer
Advanced Excel Course
Advanced Excel courses equip professionals with skills to handle complex data analysis and automation beyond basic spreadsheets. Key topics include advanced formulas (VLOOKUP, INDEX-MATCH, SUMIFS, IFERROR), PivotTables/Charts for dynamic summarization, data validation, conditional formatting, and What-If analysis tools like Goal Seek, Scenario Manager, and Solver. Learners master dashboard creation with slicers/timelines, Power Query for ETL processes, Power Pivot for data modeling/DAX, and VBA macros for custom automation. Hands-on projects focus on financial modeling, reporting, and visualization, preparing users for roles like data analyst or business intelligence specialist
Tableau Course
Tableau courses provide hands-on training in business analytics tool for transforming raw data into interactive visualizations, dashboards, and reports. Key topics include data connectivity from sources like Excel, SQL, and cloud services, Power Query for ETL (extract, transform, load) processes, data modeling with relationships and DAX formulas for calculations, and creating visuals like charts, maps, tables, and slicers. Advanced modules cover Tableau Service for publishing/sharing, row-level security, gateways for refresh, AI visuals, and mobile optimization, enabling professionals to deliver actionable insights for decision-making in roles like data analyst or BI developer
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of AI being certified as Data Analytics Certified Developer course.
With the Data Analytics Certified Developer course in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- Azure BLOB Storage
- Data Analytics
- SQL
- Azure SQL Server
- PL SQL
- Datawarehouse
- Data Modelling
- Data Integrity
- Data Quality
- Data Reporting
- Data Quality Checks (DQC)
- Python
- Excel
- Azure Moniter
45% - 100%
Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions
Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.
Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.
Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews
Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner
Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a Data Analytics Certified Developer Course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of Data Analytics & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a Data Analytics Certified Developer ?
To become a successful Data Analytics Certified Developer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis.
But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in Data Analytics implementation?
- Manufacturing
- Financial Services
- Healthcare
- E-commerce
- Telecommunications
- BFSI (Banking, Finance & Insurance)
- Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers Data Analytics Certified Developer Course reviewed by learners?
Our Data Analytics Certified Developer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to Data & AI.
Also our training curriculum has been reviewed by alumi & praises the thorough content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their Data Analytics skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training
programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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