Instructor Led Live Online
Self Learning + Live Mentoring
In - Person Classroom Training
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 is a multidisciplinary field that involves extracting knowledge and insights from structured and unstructured data using various scientific methods, algorithms, and tools. It combines elements of statistics, mathematics, computer science, and domain expertise to uncover patterns, make predictions, and drive data-driven decision-making.
Learning data science is crucial in today's data-driven world because it equips individuals with the skills to analyze and interpret vast amounts of data. By leveraging data science techniques, organizations can gain valuable insights, improve efficiency, make informed decisions, and gain a competitive advantage in their respective industries.
To become a data scientist, several skills are essential, including:
To learn data science effectively, you can follow these steps:
Data scientists often face several challenges, including:
The cost of a data science course in Gandhinagar ranges from INR 40,000 to INR 50,000 depending on the institute, course duration, and curriculum.
The eligibility criteria for data science courses may vary depending on the institution or program. However, common requirements may include:
Data science has a vast scope across various industries and sectors. As businesses continue to generate massive amounts of data, there is an increasing demand for skilled data scientists. Data science can be applied in fields such as finance, healthcare, marketing, e-commerce, manufacturing, and more. It offers opportunities for extracting insights, making predictions, improving processes, and driving innovation.
Obtaining a certification in data science is important as it provides formal recognition of one's skills and knowledge in the field, enhancing credibility and employability in the competitive job market.
Yes, there is a high demand for data science courses due to the increasing reliance on data-driven decision-making in various industries, leading to a growing need for skilled professionals who can effectively analyze and interpret complex data sets.
Yes, SQL is a necessary skill for data science as it is widely used for data extraction, manipulation, and analysis from relational databases.
Entry-level professionals in data science have promising career prospects, with opportunities to work as data analysts, data engineers, machine learning engineers, or data scientists in various industries.
Top companies hiring freshers in data science include Google, Microsoft, Amazon, Facebook, IBM, and many more, as they recognize the value of data-driven decision-making.
A solid understanding of statistics is essential for data science as it forms the foundation for data analysis, modeling, and interpretation, enabling meaningful insights to be derived from data.
Yes, data science involves a significant amount of math, including statistics, linear algebra, probability, and calculus, as these concepts are fundamental for data analysis, modeling, and machine learning algorithms.
DataMites is a reputable institute known for its comprehensive data science courses, experienced faculty, hands-on training, industry-relevant curriculum, and placement assistance, making it a reliable choice for pursuing a data science course.
The eligibility criteria for enrolling in the Certified Data Scientist Course offered by DataMites in Gandhinagar may vary, but typically it requires a bachelor's degree in any discipline with a basic understanding of mathematics and statistics. However, it's recommended to contact DataMites directly for the most accurate and up-to-date information regarding eligibility.
Reasons to consider a data science course offered by DataMites in Gandhinagar include their strong industry connections, practical approach to learning, comprehensive curriculum covering various data science concepts and tools, and the opportunity to gain practical experience through real-world projects and case studies. Additionally, their track record of successful placements and career support services adds value to the overall learning experience.
The duration of the course is of 8 months with 700 learning hours, including 120 hours of live online training.
Upon successful completion of the data science course in Gandhinagar, students are awarded the prestigious IABAC certification, which is globally recognized. This certification greatly enhances their prospects during job applications and internship programs, providing them with a competitive edge in the industry.
After completing the course, DataMites offers dedicated support and guidance for placements through their Placement Assistance Team (PAT). This ensures that individuals receive comprehensive assistance in finding suitable job placements, increasing their chances of securing employment opportunities.
DataMites in Gandhinagar provides a wide array of data science courses, covering a diverse range of topics such as Data Science Foundation, Data Science for Managers, Data Science Associate, Diploma in Data Science, Python for Data Science, Statistics for Data Science, Data Science Marketing, Data Science Operations, Data Science Retail, Data Science for HR, Data Science with Finance, and Data Science. This extensive selection allows individuals to choose a course that aligns with their specific interests and career goals.
DataMites is widely recognized for its team of exceptionally experienced educators specializing in data science. These instructors possess extensive expertise, relevant qualifications, and certifications, allowing them to deliver exceptional instruction. Through their wealth of experience, students are equipped with a comprehensive understanding of the subject matter.
DataMites understands the diverse preferences of students and offers flexible learning options to cater to their needs. They provide a range of choices, such as live online sessions, self-paced learning methods, and on-demand classroom training. This flexibility empowers individuals to select the learning approach that aligns with their preferences and enables them to conveniently pursue their data science education.
DataMites provides a comprehensive training approach, which is accompanied by a complimentary demo class. This demo class enables students to improve their understanding of the training process and gain insights into its various components.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
The payment mode available for the data science course in Gandhinagar through:
The DataMites Data Science Course in Gandhinagar offers flexible pricing options. The course is available at different price points: INR 35,000 for live online training, INR 21,000 for blended learning, and INR 44,000 for on-demand classroom training.
In order to receive the participation certificate and book the certification exam, it is required to submit valid photo identification proofs such as a National ID card or a Driving license.
The salary of data scientists in India ranges from INR 11,49,482 per year according to an Indeed report.
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.