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The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
MODULE 1: DATA SCIENCE COURSE INTRODUCTION
MODULE 2: DATA SCIENCE ESSENTIALS
MODULE 3: DATA SCIENCE DEMO
MODULE 4: ANALYTICS CLASSIFICATION
MODULE 5: DATA SCIENCE AND RELATED FIELDS
MODULE 6: DATA SCIENCE ROLES & WORKFLOW
MODULE 7: MACHINE LEARNING INTRODUCTION
MODULE 8: DATA SCIENCE INDUSTRY APPLICATIONS
MODULE 1: PYTHON BASICS
MODULE 2: PYTHON CONTROL STATEMENTS
MODULE 3: PYTHON DATA STRUCTURES
MODULE 4: PYTHON FUNCTIONS
MODULE 5: PYTHON NUMPY PACKAGE
MODULE 6: PYTHON PANDASPACKAGE
MODULE 1: OVERVIEW OF STATISTICS
MODULE 2: HARNESSING DATA
MODULE 3: EXPLORATORY DATA ANALYSIS
MODULE 4: HYPOTHESIS TESTING
MODULE 5: CORRELATION AND REGRESSION
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: PYTHON NUMPY & PANDAS PACKAGE
MODULE 3: VISUALIZATION WITH PYTHON
MODULE 4: ML ALGO: LINEAR REGRESSION
MODULE 5: ML ALGO: KNN
MODULE 6: ML ALGO: LOGISTIC REGRESSION
MODULE 7: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 8: ML ALGO: K MEANS CLUSTERING
MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: ML ALGO: LINEAR REGRESSSION
MODULE 3: ML ALGO: LOGISTIC REGRESSION
MODULE 4: ML ALGO: KNN
MODULE 5: ML ALGO: K MEANS CLUSTERING
MODULE 6: PRINCIPLE COMPONENT ANALYSIS (PCA)
MODULE 7: ML ALGO: DECISION TREE
MODULE 8 : ML ALGO: NAÏVE BAYES
MODULE 9: GRADIENT BOOSTING, XGBOOST
MODULE 10: ML ALGO: SUPPORT VECTOR MACHINE (SVM)
MODULE 11: ARTIFICIAL NEURAL NETWORK (ANN)
MODULE 12: ADVANCED ML CONCEPTS
MODULE 1: TIME SERIES FORECASTING - ARIMA
MODULE 2: FEATURE ENGINEERING
MODULE 3: SENTIMENT ANALYSIS
MODULE 4: REGULAR EXPRESSIONS WITH PYTHON
MODULE 5: ML MODEL DEPLOYMENT WITH FLASK
MODULE 6: ADVANCED DATA ANALYSIS WITH MS EXCEL
MODULE 7: AWS CLOUD FOR DATA SCIENCE
MODULE 8: AZURE FOR DATA SCIENCE
MODULE 1: DATABASE INTRODUCTION
MODULE 2: SQL BASICS
MODULE 3: DATA TYPES AND CONSTRAINTS
MODULE 4: DATABASES AND TABLES (MySQL)
MODULE 5: SQL JOINS
MODULE 6: SQL COMMANDS AND CLAUSES
MODULE 7 : DOCUMENT DB/NO-SQL DB
MODULE 1: GIT INTRODUCTION
MODULE 2: GIT REPOSITORY and GitHub
MODULE 3: COMMITS, PULL, FETCH AND PUSH
MODULE 4: TAGGING, BRANCHING AND MERGING
MODULE 5: UNDOING CHANGES
MODULE 6: GIT WITH GITHUB AND BITBUCKET
MODULE 1: BIG DATA INTRODUCTION
MODULE 2 : HDFS AND MAP REDUCE
MODULE 3: PYSPARK FOUNDATION
MODULE 4: SPARK SQL and HADOOP HIVE
MODULE 5 : MACHINE LEARNING WITH SPARK ML
MODULE 6: KAFKA and Spark
MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION
MODULE 2: BI WITH TABLEAU: INTRODUCTION
MODULE 3 : TABLEAU: CONNECTING TO DATA SOURCE
MODULE 4: TABLEAU : BUSINESS INSIGHTS
MODULE 5: DASHBOARDS, STORIES AND PAGES
MODULE 6: BI WITH POWER-BI
Data Science operates by gathering and examining extensive datasets to uncover patterns, trends, and insights. It utilizes statistical techniques, machine learning algorithms, and programming languages like Python or R to extract valuable information.
While a bachelor's degree in a relevant field is common, many Data Scientists hold advanced degrees such as a master's or Ph.D. Strong foundational skills in mathematics, programming, and relevant practical experience are essential.
At its core, Data Science involves extracting insights and knowledge from data through methods such as statistics, machine learning, and data analysis, encompassing the entire data lifecycle from collection to visualization.
Individuals with backgrounds in mathematics, statistics, computer science, or related disciplines are eligible for Data Science Certification Courses in New Zealand. These courses are also beneficial for professionals seeking to enhance analytical skills or transition into the field.
Statistics plays a fundamental role in data science, assisting analysts in drawing meaningful conclusions from data. It encompasses descriptive statistics for data summarization and inferential statistics for making predictions and decisions based on sampled data.
Essential skills for Data Scientists include proficiency in programming languages, data manipulation, statistical analysis, machine learning, and effective communication to convey findings.
The Certified Data Scientist Course stands out as a premier option in New Zealand, offering a comprehensive curriculum covering essential data science skills like programming, statistics, and machine learning. Participants acquire practical experience to excel in this dynamic field.
Begin by establishing a solid foundation in mathematics and programming. Gain practical experience with real-world datasets, explore data science training online in New Zealand, participate in projects, and develop a portfolio showcasing your abilities. Networking with professionals in the field can also offer valuable insights.
In finance, Data Science is crucial for tasks like risk management, fraud detection, customer segmentation, and algorithmic trading. It employs predictive modeling and analytics to optimize decision-making, enhance customer experiences, and identify irregularities in financial transactions.
Common challenges in data science projects include issues with data quality, model interpretability, and scalability. Tackling these challenges requires thorough data preprocessing, the implementation of explainable AI techniques, and optimizing algorithms for efficient processing.
Participating in Data Science Bootcamps can accelerate skill acquisition with practical experience and mentorship. Success largely depends on individual dedication and the quality of the bootcamp.
Data Science drives e-commerce success by analyzing customer behavior and transaction data, enabling personalized recommendations and enhancing user experiences. Recommendation systems, powered by machine learning, boost engagement, and sales by suggesting relevant products to shoppers.
Data Scientists collect, process, and analyze data to derive insights for strategic decision-making. They build predictive models, conduct experiments, and communicate findings to support business objectives and innovation.
Based on Glassdoor data, the average yearly salary for a Data Scientist in New Zealand stands at NZ$90,000, aligning with the national average. This reflects the market's recognition of their specialized skills in data analysis and interpretation, highlighting their pivotal role in guiding strategic decisions and fostering innovation across various industries in New Zealand.
In New Zealand, Data Scientists usually start as analysts, progressing to senior roles or specializing in areas like machine learning engineering. Career growth is fueled by continuous learning and networking.
Data Science enables retailers to analyze customer behavior and preferences, facilitating effective segmentation and personalized shopping experiences. By leveraging machine learning, businesses can optimize marketing strategies and enhance customer satisfaction.
Data Scientist Internships in New Zealand provide hands-on experience and industry insights, enhancing skill development and networking opportunities. They bolster resumes and often lead to full-time job offers.
The lifecycle of a Data Science project involves defining goals, gathering and preparing data, exploring insights, building models, validating results, deploying solutions, and ongoing monitoring. Each stage is critical for achieving business objectives and generating valuable insights.
Data Science finds extensive application across finance, healthcare, e-commerce, manufacturing, and telecommunications sectors. Its versatile methodologies and tools empower better decision-making, efficiency gains, and innovation in diverse industries.
Data Science revolutionizes manufacturing and supply chain management by predicting equipment failures, refining demand forecasts, and optimizing inventory levels. It enhances efficiency, lowers costs, and streamlines operations across the supply chain.
DataMites presents a range of data science certifications in New Zealand, including the well-known Certified Data Scientist course and specialized programs like Data Science for Managers and Data Science Associate. These cater to various skill levels and professional requirements, spanning domains such as Marketing, Operations, Finance, HR, and more.
For novices in New Zealand, DataMites delivers foundational data science training through courses like Certified Data Scientist, offering comprehensive skill sets. The Data Science in Foundation track and the Diploma in Data Science ensure a well-rounded learning experience, serving as ideal starting points for individuals venturing into the data science field.
No prerequisites are needed for enrollment in the Certified Data Scientist Training in New Zealand. Tailored for beginners and intermediate learners in data science, the course ensures accessibility for individuals aspiring to enter the field.
DataMites' data science training fee in New Zealand offers a flexible pricing model ranging from NZD 877 to NZD 2194. This ensures affordability and accommodates different budgetary preferences. The training programs cover an extensive curriculum, incorporating practical applications, making them suitable for individuals at varying proficiency levels and meeting the rising demand for skilled data scientists in New Zealand.
Enrolling in DataMites' online data science training in New Zealand provides the flexibility to learn from anywhere, overcoming geographical limitations. The interactive online platform fosters engagement through discussions, forums, and collaborative activities, enriching the overall data science training experience.
Absolutely, DataMites offers specialized data science courses in New Zealand tailored for professionals, including Statistics, Python, and Certified Data Scientist Operations. Tailored options such as Data Science with R Programming and Certified Data Scientist Courses in Marketing, HR, and Finance specifically cater to working professionals, ensuring targeted skill enhancement.
Yes, participants need to present a valid photo identification proof, such as a national ID card or driver's license, to receive their participation certificate. This documentation may also be necessary for scheduling the certification exam during the data science training sessions in New Zealand.
The DataMites Certified Data Scientist Training Course in New Zealand stands as a globally recognized program in Data Science and Machine Learning. Regularly updated to align with industry requirements, it adopts a job-oriented approach, equipping participants with vital skills and knowledge for thriving in the dynamic realm of data science.
Recognizing unforeseen circumstances, DataMites provides recorded sessions for review, allowing participants to catch up on missed content. Additionally, one-on-one sessions with trainers are available to address queries and clarify concepts covered during the missed session, ensuring a comprehensive learning experience.
Indeed, DataMites offers a trial class option in New Zealand, allowing participants to preview the training content and learning environment before making a commitment to the fee.
Trainers at DataMites are meticulously chosen based on their esteemed qualifications, with faculty members bringing real-world experience from top companies and esteemed institutes like IIMs to conduct the data science training sessions.
The duration of DataMites' data scientist courses in New Zealand ranges from 1 to 8 months, depending on the course level and specific program.
The Flexi-Pass at DataMites in New Zealand empowers participants to customize their training schedule according to their preferences, accommodating busy lifestyles and ensuring flexibility in pursuing data science training at their own pace.
For managers or leaders aiming to incorporate data science into decision-making, DataMites' "Data Science for Managers in New Zealand" course is the ideal option.
Absolutely, DataMites in New Zealand offers support sessions for participants, providing extra assistance and clarification on particular data science topics to ensure comprehensive understanding.
Upon finishing Data Science Training in New Zealand, participants receive an IABAC Certification from DataMites, recognizing their proficiency in data science.
Certainly, DataMites ensures live projects are part of their Data Scientist Course in New Zealand, including over 10 capstone projects and hands-on experience with client/live projects.
DataMites offers data science classes in New Zealand through online sessions and self-paced training methods, providing flexibility and personalized learning experiences.
Absolutely, DataMites offers Data Science Courses with internship opportunities in New Zealand, providing valuable hands-on experience with AI companies.
DataMites' career mentoring sessions in New Zealand are interactive, guiding participants on industry trends, resume building, and interview preparation to enhance their employability in the data science field.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.