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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 functions by gathering and scrutinizing extensive datasets to uncover patterns, trends, and insights. It relies on statistical techniques, machine learning algorithms, and programming languages like Python or R to extract valuable information.
Glassdoor reports that the typical annual income for Data Scientists in New Zealand is NZ$90,000, which mirrors the country's average salary. This reflects the market's recognition of their specialized skills in data analysis, emphasizing their pivotal role in guiding strategic decisions and fostering innovation across industries in Wellington.
The Certified Data Scientist Course stands out in Wellington, offering a comprehensive curriculum that encompasses vital data science skills such as programming, statistics, and machine learning. Participants gain practical experience for successful careers in this dynamic field.
Individuals with backgrounds in mathematics, statistics, computer science, or related fields are eligible for Data Science Certification Courses in Wellington. These courses are also beneficial for professionals seeking to enhance analytical skills or transition into the field.
Statistics plays a foundational role in data science, aiding analysts in drawing meaningful conclusions from data. It encompasses descriptive statistics for summarizing data and inferential statistics for making predictions and decisions based on sampled data.
Data Science involves extracting insights and knowledge from data using methods such as statistics, machine learning, and data analysis, covering the entire data lifecycle from collection to visualization.
The lifecycle of a Data Science project involves crucial steps such as defining objectives, gathering and preparing data, exploring data patterns, developing models, validating outcomes, deploying solutions, and ongoing monitoring. Each stage is pivotal for aligning with business objectives and delivering meaningful insights.
Requisite skills for Data Scientists include proficiency in programming languages, data manipulation, statistical analysis, machine learning, and effective communication to convey insights.
Begin by establishing a solid foundation in mathematics and programming. Gain practical experience with real-world datasets, explore data science training online in Wellington, undertake projects, and develop a portfolio showcasing your abilities. Networking with professionals in the field can offer valuable guidance.
Data Science plays a vital role in finance for tasks such as risk management, fraud detection, customer segmentation, and algorithmic trading. It leverages predictive modeling and analytics to optimize decision-making, improve customer experiences, and identify irregularities in financial transactions.
Typical data science project challenges include issues with data quality, model interpretability, and scalability. Overcoming these obstacles involves thorough data preprocessing, implementing explainable AI techniques, and optimizing algorithms for efficient processing.
In e-commerce, Data Science scrutinizes customer behavior, preferences, and transaction data to power recommendation systems. These systems, driven by machine learning algorithms, personalize user experiences, offer product recommendations, and bolster customer engagement, ultimately driving sales and satisfaction.
Data Scientist Internships in Wellington provide hands-on experience with real-world projects, aiding in skill development and industry insight. They bolster resumes, foster networking opportunities, and often lead to potential full-time employment prospects.
Data Scientists are tasked with collecting, processing, and analyzing large datasets to extract actionable insights. They develop predictive models, conduct experiments, and communicate findings to support strategic decision-making. Collaborating with diverse teams, they contribute to problem-solving and innovation within the company.
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 experience are essential.
In Wellington, Data Scientists typically start as analysts, progressing to senior roles or specializing in areas like machine learning engineering or data architecture. Continuous learning, networking, and hands-on experience play vital roles in their professional advancement.
Data Science enables retailers to analyze customer behavior, preferences, and purchase history for effective segmentation. Through machine learning algorithms, businesses can personalize shopping experiences, provide tailored product recommendations, and optimize marketing strategies, ultimately enhancing customer satisfaction and loyalty.
Data Science revolutionizes manufacturing and supply chain management by predicting equipment failures, refining demand forecasting, and optimizing inventory handling. It enhances operational efficiency, cuts costs, and streamlines supply chain processes.
Data Science finds extensive applications across finance, healthcare, e-commerce, manufacturing, and telecommunications sectors. Its adaptable methodologies and tools empower improved decision-making, operational efficiency, and innovation across diverse industries.
Data Science Bootcamps offer a valuable avenue for quickly acquiring skills. These programs provide practical experience, mentorship, and networking opportunities, expediting entry into the field. However, individual commitment and the quality of the bootcamp significantly impact success.
DataMites offers a variety of data science certifications in Wellington, including the prestigious Certified Data Scientist course and specialized programs like Data Science for Managers and Data Science Associate. These cater to different skill levels and professional requirements, spanning domains such as Marketing, Operations, Finance, HR, and more.
Absolutely, DataMites offers specialized data science courses in Wellington designed for professionals, such as Statistics, Python, and Certified Data Scientist Operations. Tailored options like Data Science with R Programming and Certified Data Scientist Courses in Marketing, HR, and Finance are specifically crafted to enhance the skills of working professionals.
DataMites' data science training in Wellington features a flexible pricing structure ranging from NZD 877 to NZD 2194. This ensures affordability and accommodates various budget preferences. The training programs encompass a comprehensive curriculum with practical applications, making them suitable for individuals at different skill levels and contributing to the rising demand for proficient data scientists in Wellington.
The DataMites Certified Data Scientist Training Course in Wellington is a globally recognized program focusing on Data Science and Machine Learning. Updated to meet industry demands, it adopts a job-oriented approach, imparting participants with essential skills and knowledge necessary for success in the dynamic field of data science.
There are no prerequisites required for enrolling in the Certified Data Scientist Training in Wellington. Designed for both beginners and intermediate learners in data science, the course ensures accessibility for individuals seeking entry into the field.
Opting for DataMites' online data science training in Wellington provides the flexibility to learn from any location, eliminating geographical barriers. The interactive online platform fosters engagement through discussions, forums, and collaborative activities, enriching the overall data science learning experience.
The duration of DataMites' data scientist courses in Wellington ranges from 1 to 8 months, varying depending on the course level and specific program.
For newcomers in Wellington, DataMites offers foundational data science training through courses like the Certified Data Scientist, providing comprehensive skill development. The Data Science in Foundation track and the Diploma in Data Science ensure a well-rounded learning experience, serving as ideal entry points for individuals venturing into the realm of data science.
DataMites offers data science course training in Wellington through online data science training and self-paced training methods, providing flexibility and personalized learning experiences.
Understanding unforeseen circumstances, DataMites offers recorded sessions for review, enabling participants to catch up on any missed content. Furthermore, one-on-one sessions with trainers are available to address queries and clarify concepts covered during the missed session, ensuring a comprehensive learning journey.
Absolutely, completing the data science classes in Wellington with DataMites earns participants a prestigious certification from IABAC, validating their expertise in the field.
Yes, DataMites provides a trial class option in Wellington, allowing participants to preview the training content and learning environment before committing to the fee.
Instructors at DataMites are chosen based on their exceptional qualifications, with faculty members boasting real-world experience from top companies and esteemed institutes like IIMs leading the data science training sessions.
The Flexi-Pass at DataMites in Wellington enables participants to customize their training schedule according to their preferences, accommodating busy schedules and ensuring flexibility in pursuing data science training at their convenience.
Indeed, DataMites offers Data Science Courses with internship opportunities in Wellington, providing valuable hands-on experience with AI companies.
The ideal option for managers or leaders aiming to incorporate data science into decision-making processes is DataMites' "Data Science for Managers" course in Wellington.
Absolutely, DataMites in Wellington offers assistance sessions to provide additional support and clarification on particular data science topics, ensuring comprehensive comprehension.
DataMites' career mentoring sessions in Wellington follow an interactive format, guiding participants on industry trends, resume building, and interview preparation, enhancing their employability in the data science field.
Certainly, DataMites ensures the inclusion of live projects as part of their Data Scientist Course in Wellington, featuring over 10 capstone projects and hands-on client/live project experience.
Yes, participants are required to present valid photo identification, such as a national ID card or driver's license, to receive their participation certificate. Additionally, it may be necessary for scheduling the certification exam during the data science training sessions in Wellington.
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.