data-analytics-training-and-certificaation-course-at-wedigraf-tech-hub-uyo-akwa-ibom-state-and-port-harcourt-rivers-state

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Data Analytics Training and Certification in Uyo, Akwa Ibom State and Port-Harcourt, Rivers State

Name: Data Analytics Training and Certification in Uyo, Akwa Ibom State and Port-Harcourt, Rivers State
SKU: 1747
Availability: InStock

Original price was: ₦300,000.00.Current price is: ₦240,000.00.

DATA ANALYTICS TRAINING AND CERTIFICATION COURSE IN UYO, AKWA IBOM AND PORT HARCOURT, RIVERS STATE

DATA ANALYTICS TRAINING AND CERTIFICATION COURSE

Transform your career with in-demand data skills. Learn to extract insights, solve problems, and drive results.

This intensive data analytics training course equips you with the skills and knowledge to excel in the ever-growing field of data analysis. Progressing from foundational concepts to advanced applications, you’ll gain expertise in data manipulation with Python, statistical analysis, data visualization, data mining, and big data frameworks.

What You’ll Learn:

Master data wrangling and manipulation techniques using powerful Python libraries like Pandas and NumPy.
Conduct in-depth statistical analysis with various methods, including hypothesis testing, regression analysis, and time series forecasting.
Leverage data mining techniques to uncover hidden patterns and trends within large datasets.
Explore big data concepts and frameworks like Hadoop and Spark to handle massive volumes of information.
Build robust data pipelines to automate data workflows and streamline analysis processes.
Craft compelling data visualizations with advanced tools like Tableau and Plotly to effectively communicate insights.
Develop a strong understanding of data ethics and responsible AI practices to ensure fairness and transparency in your analysis.
Delve into advanced topics like natural language processing, deep learning, and recommender systems.

Course Structure:

The course is meticulously structured into 10 sections, each building upon the previous one. Through a combination of lectures, hands-on exercises, coding projects, and a culminating capstone project, you’ll gain practical experience in applying your knowledge to real-world scenarios.

Key Takeaways:

Proficiency in advanced data manipulation and analysis techniques using Python.
In-depth understanding of statistical methods and their application in data science.
The ability to mine valuable insights from large datasets using sophisticated techniques.
Knowledge of big data frameworks and tools for handling massive data volumes.
Skills to build automated data pipelines and optimize workflows.
Expertise in creating impactful data visualizations to communicate findings effectively.
A strong foundation in data ethics and responsible AI practices.
Exposure to cutting-edge topics like natural language processing and deep learning.
Linkedin Optimization
Remote job placement

By the end of this comprehensive course, you’ll be job-ready and well-equipped to tackle complex data challenges and confidently navigate the dynamic world of data analytics.

Course Objectives:

Master data manipulation techniques using Python libraries.
Conduct in-depth statistical analysis using various methods and tools.
Utilize data mining techniques to uncover hidden patterns and trends.
Explore big data concepts and frameworks for handling large datasets.
Build effective data pipelines for automating workflows.
Communicate data insights through compelling data storytelling techniques.

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Description

DATA ANALYTICS TRAINING AND CERTIFICATION COURSE IN UYO, AKWA IBOM STATE AND PORT HARCOURT, RIVERS STATE.

DATA ANALYTICS TRAINING AND CERTIFICATION COURSE

Course Structure:

The course is divided into 10 sections, each with 5 modules, progressively building on acquired knowledge.

DATA ANALYTICS TRAINING AND CERTIFICATION COURSE OUTLINE

Section 1: Python for Data Analysis (Modules 1-5)

Module 1: Data structures in Python (Sets, Tuples)
Module 2: Functions and object-oriented programming in Python
Module 3: Data analysis with Pandas (advanced operations, data cleaning)
Module 4: Numerical computing with NumPy (vectorization, linear algebra)
Module 5: Data wrangling with libraries like Scikit-learn (data preprocessing, feature engineering)

Section 2: Statistical Analysis for Data Analytics (Modules 6-10)

Module 6: Hypothesis testing techniques (ANOVA, Chi-Square)
Module 7: Regression analysis: Linear regression, Logistic regression
Module 8: Time series analysis: Forecasting techniques and models
Module 9: Statistical modeling with libraries like Statsmodels
Module 10: Machine learning fundamentals: Introduction to supervised and unsupervised learning

Section 3: Data Visualization (Modules 11-15)

Module 11: Interactive data visualization with libraries like Plotly, Bokeh
Module 12: Building dashboards and reports with Tableau or Power BI
Module 13: Data visualization design principles for maximum impact
Module 14: Storytelling with data: Techniques for effective communication
Module 15: Data visualization best practices for presentations and reports

Section 4: Data Mining Techniques (Modules 16-20)

Module 16: Data mining concepts and methodologies (Association rule learning, Clustering)
Module 17: Association rule learning with tools like Apriori
Module 18: Clustering techniques: K-means clustering, Hierarchical clustering
Module 19: Dimensionality reduction techniques (PCA)
Module 20: Data mining applications in various industries (e.g., Retail, Finance)

Section 5: Introduction to Big Data (Modules 21-25)

Module 21: Big data concepts: The 3Vs (Volume, Velocity, Variety)
Module 22: Big data frameworks: Hadoop ecosystem (HDFS, MapReduce)
Module 23: Introduction to Apache Spark for distributed data processing
Module 24: Big data storage solutions: NoSQL databases
Module 25: Big data analytics tools: Spark SQL, Hive

Section 6: Data Pipelines and Automation (Modules 26-30)

Module 26: Data pipeline concepts and design principles
Module 27: Building data pipelines with tools like Airflow, Luigi
Module 28: Data scheduling and orchestration techniques
Module 29: Automating data cleaning and transformation tasks
Module 30: Version control for data pipelines (Git)

Section 7: Cloud Platforms for Data Analytics (Modules 31-35)

Module 31: Introduction to cloud computing for data analytics (AWS, Azure, GCP)
Module 32: Cloud storage solutions for big data (Amazon S3, Azure Blob Storage)
Module 33: Cloud-based data analytics services (Amazon Redshift, Azure Synapse Analytics)
Module 34: Deploying data pipelines and applications on the cloud
Module 35: Cost optimization for cloud-based data analytics solutions

Section 8: Data Ethics and Responsible AI (Modules 36-40)

Module 36: Understanding data bias and its impact on analytics
Module 37: Fairness, accountability, and transparency

Module 38: Mitigating bias in data collection and analysis
Module 39: Explainable AI (XAI) techniques for interpretable models
Module 40: Data privacy regulations and compliance (e.g., GDPR, CCPA)

Section 9: Advanced Topics in Data Analytics (Modules 41-45)

Module 41: Natural Language Processing (NLP) for text data analysis
Module 42: Deep Learning Fundamentals and Applications
Module 43: Recommender Systems: Building recommendation algorithms
Module 44: Anomaly detection for fraud prevention and security
Module 45: Time series forecasting with advanced models (ARIMA)

Section 10: Capstone Project and Career Preparation (Modules 46-50)

Module 46: Selecting a data analytics capstone project based on your interests
Module 47: Data exploration and problem definition for the capstone project
Module 48: Applying learned techniques to solve the capstone project challenge
Module 49: Developing a data-driven solution and presenting findings
Module 50: Building a data analytics portfolio and career preparation

Linkedin Optimization
Job Placement

Visit the Hub to enroll:

Uyo or Port Harcourt office:

PORT HARCOURT:
Wedigraf Tech Hub
2, Chief Ejims Street, off old Aba Road, Rumuomasi, Rivers State.

UYO:
Wedigraf Tech Hub
69, Abak Road, by Udo Abasi Street, Uyo, Akwa Ibom State.
(First Floor, LG Building, beside Pepperoni)

WhatsApp/Call: 07061773925

Data Analytics Training and Certification in Uyo, Akwa Ibom State and Port-Harcourt, Rivers State

DATA ANALYTICS TRAINING AND CERTIFICATION COURSE IN UYO, AKWA IBOM STATE AND PORT HARCOURT, RIVERS STATE.

DATA ANALYTICS TRAINING AND CERTIFICATION COURSE

DATA ANALYTICS TRAINING AND CERTIFICATION COURSE OUTLINE

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