Data Analytics Accelerator
Businesses must leverage advanced analytics, AI-driven insights, and scalable data architectures to stay competitive. Breezelow’s Data Analytics Accelerator course equips professionals with the technical skills and strategic mindset needed to extract, analyze, visualize, and operationalize data effectively.
This course covers data engineering, advanced statistical modeling, cloud-based analytics, and AI-powered automation, enabling students to work with large-scale datasets, real-time analytics, and predictive modeling. You’ll gain hands-on experience with industry-leading tools like SQL, Python, Power BI, Tableau, Apache Spark, and cloud-based analytics platforms (AWS, Azure, GCP).
The course is fully remote and flexible, with live interactive sessions for hands-on projects. Upon completion, students gain access to Breezelow’s career services, which provide job placement assistance, interview coaching, and networking opportunities.
NEXT COHORT
March 3 - April 20 2025
MODALITY
Online, live & on-demand
REGISTRATION DEADLINE
February 15, 2025
Who is this for?
Data is the backbone of decision-making. This course is for individuals looking to leverage data to drive business insights and innovation. It’s ideal for:
Analysts & business professionals who want to work with data more effectively.
IT & software engineers interested in data-driven applications.
Finance, marketing, and operations professionals looking to optimize strategies using data insights.
Entrepreneurs & executives who need data to make informed business decisions.
If you want to develop hands-on expertise in data analysis, visualization, and business intelligence tools, this course is for you.
- Data Architecture & Storage Solutions – Data lakes, warehouses, and structured/unstructured storage
- ETL (Extract, Transform, Load) Processes – Building scalable data ingestion pipelines
- Big Data Technologies – Apache Spark, Hadoop, and distributed computing
- SQL Optimization & Query Performance – Indexing, partitioning, and query tuning
- Cloud-Based Data Engineering – AWS Glue, Azure Data Factory, Google Dataflow
- Advanced SQL for Analytics – Window functions, CTEs, stored procedures
- Data Cleaning & Preparation – Handling missing data, feature engineering
- Statistical Analysis & Hypothesis Testing – Regression, clustering, and A/B testing
- Time Series Analysis & Forecasting – ARIMA, Prophet, and deep learning models
- Data Wrangling with Python – Pandas, NumPy, and SciPy
- Designing Effective BI Dashboards – User experience and KPI tracking
- Power BI & Tableau – Interactive data visualization and reporting
- DAX and M Query in Power BI – Advanced data manipulation techniques
- Cloud-Based BI Solutions – Looker (Google), QuickSight (AWS), and Power BI Service
- Storytelling with Data – Turning raw numbers into actionable business insights
- Supervised & Unsupervised Learning – Classification, clustering, and anomaly detection
- AI-Powered Forecasting – Using TensorFlow, Scikit-learn, and AutoML
- Building and Deploying ML Models – Model training, evaluation, and MLOps
- NLP & Text Analytics – Sentiment analysis, chatbot automation, and document classification
- Deep Learning in Business Intelligence – Applying neural networks to enterprise data
- Data Warehousing in the Cloud – Snowflake, Amazon Redshift, Google BigQuery
- Stream Processing & Real-Time Analytics – Apache Kafka, AWS Kinesis, Azure Stream Analytics
- Serverless Data Pipelines – AWS Lambda, Google Cloud Functions
- Data Governance & Compliance – GDPR, HIPAA, and secure data management
- Automating Data Workflows – Using Airflow, Prefect, and DAG scheduling
- Business Case Development with Data – Using analytics to drive decision-making
- ROI Analysis & Revenue Forecasting – Applying data science to business models
- Customer Analytics & Personalization – Data-driven marketing and behavioral analytics
- Competitive Intelligence & Market Trends – Web scraping, alternative data sources
- Building Data-Driven Cultures in Organizations – Governance, change management, and adoption strategies
- Real-World Business Case Analysis – Applying advanced analytics to business challenges
- Industry-Specific Data Projects – Finance, healthcare, e-commerce, and cybersecurity analytics
- Collaboration with Peers & Industry Mentors – Group projects and expert feedback
- Final Presentation & Portfolio Building – Showcasing skills to potential employers
This course prepares you for the following certifications
Frequently asked questions
All our courses are delivered online, allowing you to learn from anywhere in the world. We offer a mix of live sessions and on-demand recordings so you can follow the course at your own pace.
Live attendance is recommended to interact with instructors and ask questions in real time, but all sessions are recorded and available for replay if you can’t attend.
We recommend a few hours per week for lectures, assignments, and hands-on exercises, but the schedule is flexible, and you can progress at your own pace.
All necessary tools and platforms will be provided or are freely available. You’ll receive setup instructions at the start of the course.
Yes! You’ll be able to ask questions during live sessions, engage in discussion forums, and receive support from our team throughout the course.
- Authentication vs. Authorization
- Role-Based Access Control (RBAC) & Attribute-Based Access Control (ABAC)
- Federated identity: SAML, OpenID Connect, OAuth 2.0
- Active Directory security & LDAP authentication
Since all materials are recorded, you can catch up at any time. If needed, we also offer options to defer to a later cohort.
Upon completion, you’ll receive a certificate of completion, and the courses are designed to help you prepare for industry-recognized certifications.
We provide resume assistance, interview coaching, and job placement support to help you take the next step in your career.
Simply click the “Enroll Now” button, complete your registration, and you’ll receive all the details to get started.
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