Business Analytics Training Course in Gurgaon
Master Business Analytics course covers Data Analysis techniques required to analyst trends, future forecasting & generate valuable insights to take business decisions using technologies like Python, SQL, Excel & others to generate reporting dashboards for key business stakeholders to predict future outcomes using Data Mining, Data Wrangling , Data Cleansing & various others Data Preprocessing to uncover data patterns & relationships within the data.
- Enroll for Data Analyst, Developer, Operations, MLOps, AI / ML, Data Science and Data Security 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
Business AnalyticsTraining Course Overview
This Data Analytics live-learning course cover deep into Data Analysis, developing, deploying, and managing scalable solutions and infrastructure across Data platforms, equipping you for success in today’s fast-evolving technology landscape. This course covers Data Analysis techniques required to analyst trends, future forecasting & generate valuable insights to take business decisions using technologies like Python, SQL, Excel & others to generate reporting dashboards for key business stakeholders to predict future outcomes using Data Mining, Data Wrangling , Data Cleansing & various others Data Preprocessing to uncover data patterns & relationships within the data.
- 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 Business 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
Data Analysis training required to analyst trends, future forecasting & generate valuable insights to take business decisions using technologies like Python, SQL, Excel & others to generate reporting dashboards for key business stakeholders to predict future outcomes using Data Mining, Data Wrangling , Data Cleansing & various others Data Preprocessing to uncover data patterns & relationships within the data.
Familiarity with the Data, Wrangling/Scrapping patterns from the data sources, along with Data cleansing & other techniques like artificial intelligence (AI), machine learning (ML), and generative AI fundamentals will help to build real-world applications
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What is Data Analytics Engineer?
Data Analytics Engineer is essential for driving key business data analysis in Data development and testing. They manage the full Data lifecycle— from Data Pre-processing to Data Cleansing to Data Standardization to Data Modelling for Data applications and ML workflows, and automating Data development and testing processes. By streamlining Data workflows and resolving challenges in Data Pipeline deployment on cloud, and maintenance, they help organizations deliver reliable, high-performance Data Reporting Dashboards faster and more efficiently.
The role of Data Analytics Engineer ?
Data Analytics Engineer in Data development and testing oversees Data lifecycle— from Data Pre-processing to Data Cleansing to Data Standardization to Data Modelling for Data applications and Data workflows. Key responsibilities include:
Exploring Emerging Technologies: Leveraging Data technologies, like Data Wrangling, Scrapping & others to enhance efficiency and streamline Data workflows.
Scalable Data & Reporting Dashboards for Concurrent Users: Designing and implementing Data applications that address critical business needs.
Seamless Deployment of Data Reporting Dashboards: Coordinating DataFlows deployment with infrastructure management for smooth delivery.
Reporting Workflow Optimization: Creating, analyzing, and refining automation scripts and Data reporting workflows to maximize productivity.
For professionals aspiring to excel in this field, the Success Aimers Data Analytics Course provides hands-on training to master these skills. The program equips you to confidently manage deployment lifecycles, deployment pipelines, automation, and deployment processes, positioning you as a high-impact Data Analytics Engineer in Data development and testing.”**
Who should take this Data Analytics Engineer course?
The Data Analytics Engineer Course is tailored for professionals aiming to accelerate their careers in Cloud, data, and technology-driven sectors. It is particularly valuable for roles including:
Data Team Leaders
Data Analyst & Developers
Data Cloud Engineers and IT Managers
Cloud & Tableau Developers
Cloud Researchers and Data Engineers
This program equips participants with the skills to lead Data & Reporting initiatives, implement advanced Data workflows, and drive innovation in Data development and testing.
What are the prerequisites of Data Analytics Engineer Course?
Prerequisites for the Data Analytics Engineer Course”
To ensure a seamless learning experience, candidates are expected to have:
Educational Background:Â An undergraduate degree or high school diploma in a relevant field.
Technical Foundation: Knowledge of IT, software development, or data science fundamentals.
Programming Skills:Â Basic proficiency in languages such as Python or JavaScript.
Cloud Familiarity:Â Experience with cloud platforms like AWS or Microsoft Azure.
Meeting these prerequisites enables learners to effectively grasp advanced Cloud concepts, including Data Analysis tool, Data pipeline workflows, Reporting Dashboards deployment, and automation throughout the course.
What are the prerequisites of Data Analytics Engineer Course?
- Data Certified Engineer
- Data Analyst
- Data Cloud Solutions Manager
- Tableau/Power BI Engineer
- Data Cloud Engineer / Data Cloud Architect
- Data Cloud Engineer
- Data Engineer
- Â
| 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 |
Business 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. Data Analysis techniques required to analyst trends, future forecasting & generate valuable insights to take business decisions using technologies like Python, SQL, Excel & others to generate reporting dashboards for key business stakeholders to predict future outcomes using Data Mining, Data Wrangling , Data Cleansing & various others Data Preprocessing to uncover data patterns & relationships within the data.
SQL for Data Analysis
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
Power BI for Data Analysis
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
Tableau for Data Analysis
Tableau courses deliver hands-on training in this leading data visualization platform, covering data connectivity from diverse sources like Excel, SQL databases, and cloud services, along with data preparation using Tableau Prep for cleaning and blending. Key topics include building interactive dashboards with charts, maps, heatmaps, and calculated fields via drag-and-drop interface, advanced analytics with parameters, sets, forecasting, and LOD expressions, plus publishing to Tableau Server/Public for collaboration and mobile optimization. Learners master storytelling through stories and actions for dynamic user experiences, preparing for roles like BI analyst or data visualization specialist with real-world projects emphasizing best practices in design and performance
Python for Data Analysis
Python courses deliver essential training in python programming, covering core Python fundamentals like Functions, multithreading, datatypes (Tuple, List, Dictionary), Comprehensions, Lambda Expressions, and Web/Data Scrapping for efficient data retrieval and manipulation, alongside advanced Python Libraries such as Numpy, Pandas and Matplot for EDA (Exploratory Data Analysis) & Data preprocessing activity. It emphasize on Data Pre-processing & Data Wrangling techniques to get the contextual understanding to perform Data Analysis. Hands-on projects focus on building scalable Data solutions for real-world applications, preparing learners for roles like Data Analyst & Scientist.
EDA (Exploratory Data Analysis)
EDA course deliver essential training in python programming, covering core Data Exploration fundamentals like Data Wrangling, Data Cleansing , Data Manipulation & others using Python libraries like Numpy, Pandas , Matplot , Seaborn & others using core Python concepts like Comprehensions, Lambda Expressions, and Web/Data Scrapping for efficient data retrieval and manipulation, alongside EDA Python Libraries such as Numpy, Pandas and Matplot for EDA (Exploratory Data Analysis) & Data preprocessing activity. It emphasize on Data Pre-processing & Data Wrangling techniques to get the contextual understanding to perform Data Analysis. Hands-on projects focus on building scalable Data solutions for real-world applications, preparing learners for roles like Data Analyst & Scientist.
Excel for Data Analysis
Master Data Analysis and get prepared for Microsoft certified Excel certification with our role based courses tailored to your specific needs. Excel is used for Data Analysis to get the trends &Â patterns used for visualization purpose within the enterprises to drive key business decisions by using visual elements bar charts, graphs, area charts, maps & other forms of viz patterns available. With the help of Excel tool, Data Analysts turns the key insights/numbers into a graphical view allowing business users to discover patterns, trends & insights quickly to make any business decision.
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 Data Analytics being certified as Business Data Analytics Certified Engineer course.
With the Business Data Analytics Certified Engineer 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
- SQL
- Python
- Excel
- Excel Macros
- EDA (Exploratory Data Analysis)
- Data Analytics
- PL SQL
- SQL Server
- NumPy
- Pandas
- Seaborn
- Data Analysis Libraries
- Data Science
- Tensorflow
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 Engineer 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 Business 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 Engineer ?
To become a successful Data Analytics Certified Engineer 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
- Â
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 Engineer Certified Course reviewed by learners?
Our Data Analytics Certified Engineer 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 BI 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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