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Data Science with Python Training in Fremont

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  • Beginner & Advanced level Classes.
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  • Case Studies and Projects 8+

  • Hours of Training 45+

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Learn From Experts, Practice On Projects & Get Placed in IT Company

  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
  • You will not only gain knowledge of Data Science with Python and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
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  • IBM's Python Data Science Professional Certificate Guidance Support with Exam Dumps.
  • For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
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  • Concepts: Data Science, Python, Python Basic Data types, Python Packages, Importing data, Manipulating Data, Statistics Basics, Machine Learning, Supervised Learning, Unsupervised Learning, Other Machine Learning algorithms.
  • START YOUR CAREER WITH DATA SCIENCE WITH PYTHON COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
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09-Dec-2024
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11-Dec-2024
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14-Dec-2024
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15-Dec-2024
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    Course Objectives

      Data Science is one of the most highly paid jobs. According to Glassdoor, Data Scientists make an average of $116,100 per year. This makes Data Science a highly lucrative career option.
      Data Science With Python has a really good future. Data Scientist and Data science is always improving and change to a vast extent over the next ten years. We can clearly say that the Data Scientist will have a lot of scope in the future, and companies looking for Data scientist will increase. The best job in the future you will get is data science jobs.
      R and Python are the two most popular programming languages used by data analysts and data scientists. Both are free and open source - R for statistical analysis and Python as a general-purpose programming language. Knowing both R and Python will open doors for more job opportunities.
    We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for Data Science With Python. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
    • SciPy.
    • Pandas.
    • Matplotlib.
    • NumPy.
    • SciKit.
    • Seaborn.
      Before proceeding with this tutorial, you should have a basic knowledge of writing code in Python programming language, using any python IDE and execution of Python programs. If you are completely new to python then please refer our Python tutorial to get a sound understanding of the language.
      Yes, If you have basic knowledge, you can learn it online but you need good practice , projects and case study. You can start learning R and Python. There are many free cources available to start with. Down the line when you learn this , you will understand how comfortable you are with learning programming.

    Will I Be Given Sufficient Practical Training In Data Science With Python Certification?

      Our course ware is designed to give a hands-on approach to the students in Data Science With Python. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.

    Is it worth learning Data Science With Python?

      Learning Data Science With Python is worth it. Data science is a wave which is going to sustain for a long time. Unless , the new breed of engineers , graduates and MBA are aware of it , they will be in deep trouble.I am giving a clarion call because I have seen the good and bad side of data technologies.

    How long would it take to learn Data Science With Python Online Course in Fremont?

    • Python for data science course duration is short and within 2-3 months of pursuing this course you can gain the confidence of making or attempting small projects.
    • There are a lot of estimates for the time it takes to learn Python. For data science specifically, estimates a range from 3 months to a year of consistent practice.
    • Talking about how long it will be there in market no one can actually answer it precisely. If you want to learn the SAP Training reach Creating experts ACTE provide you the real time and advance level training from the experienced professionals.

    Top reasons to consider a career in Data Science With Python Training?

      There is a shortage of data scientist at all the levels from beginner,Freshers to that of manager level.Since IT industry is at the verge of change so many middle level manager s and professional across domains are finding their career growth stagnant .Data science is the best option to overcome downturns of career stagnation. Annual pay hikes for Analytics professionals in India is on an average 50% more than other IT professionals.Salary trendsfor Data science professionals across the globe indicates a positive and exponential growth.
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    Overview of Data Science with Python Training in Fremont City

    These data science courses will teach you how to clean, analyze, and visualize data using the Python programming language. You will gain hands-on experience handling interesting data challenges through our guided lectures and laboratories. This is an action-packed learning path for data science lovers who want to use Python to solve real-world challenges. Take this learning path to reinforce your Python data skills before moving into machine learning, big data, and learning techniques in Python.

    ACTE's python instructional class gives you the knowledge and top to bottom expertise in the advancement of python codes and bundles like SciPy, Matplotlib, Pandas (logical educating), Scikit-Larn, NumPy, web scratching libraries, and the Lambda work. Business experts need to make the most proficient work in exceptionally qualified MNCs all through the internet-based course material. As a feature of this training, you might partake progressively in drives and errands that significantly affect the genuine universe of business so your professions are simple for you.

    Additional Info

    LEARN TO ANALYZE DATA WITH PYTHON

    Figure out how to investigate information utilizing Python. This course will take you from the nuts and bolts of Python to investigating various sorts of information. You will figure out how to plan information for examination, perform straightforward factual investigations, make significant information perceptions, anticipate future patterns from information, and that's just the beginning!

    You will learn how to:
    • Import informational collections.
    • Clean and plan information for examination.
    • Control pandas DataFrame.
    • Sum up information.
    • Assemble AI models utilizing scikit-learn.
    • Assemble information pipelines.
    • Information Analysis with Python is conveyed through address, involved labs, and tasks. It incorporates the following parts:

      Information Analysis libraries: will figure out how to utilize Pandas DataFrames, Numpy multi-dimensional exhibits, and SciPy libraries to work with different datasets. We will acquaint you with pandas, an open-source library, and we will utilize it to stack, control, investigate, and imagine cool datasets. Then, at that point, we will acquaint you with another open-source library, scikit-learn, and we will utilize a portion of its AI calculations to assemble shrewd models and make cool expectations.

      Introduction of Data Science with Python:

      Python Data Science course empowers you to concentrate without any preparation these thoughts and helps ace fundamental Python programming ideas, for example, information handling, document tasks just as article arranged programmings and diverse Python libraries, like Pandas, Numpy, and Matplotlib. This course in Python for Data Science will likewise help you to get a handle on the numerous sorts of AI, suggestion frameworks, and a lot more information science themes to start your vocation in information science.

      The Python Data Science course will show you the essentials of Python programming. You will learn Data Analysis, Machine Learning, Data Visualization, Web Scraping, and Natural Language Processing (NLP) as a feature of this Data Science with Python affirmation program. In the wake of finishing this course, you will have dominated the key instruments of Data Science with Python.

      Career Growth Of Data Science with Python:

      Our courses are intended to forestall preconditions and no past experience. Bosses of obligatory specialized capacities for information researchers like Python and objective and capacities. You will likewise learn fundamental libraries like researchers learning, Matplotlib, NumPy, and pandas along the course. Moreover, in our Python information science course, discover all you need to think about web scratching and SQL queries.

      Most information science programs end there since they are the main abilities needed to turn into an information researcher, yet we went a stage past. To assist you with standing apart from the group, we added thoughts like the UNIX order line, Git, and Github to encourage collaboration and productivity. We at Dataquest see that it is so hard to explore a totally new expert way, accordingly we teach exceptionally. Our classes are consistently active and locking in. Bid farewell to long, exhausting recordings. With Dataquest, you'll make and running real code consistently, confirming your new capacities. In the event that you stall out, we'll assist you with refocusing. The information researcher educational program is organized as follows:

      • Our vocation in Python information science incorporates a scope of courses, including a prologue to Python for amateurs all through their professions to cutting edge Python for information science.
      • You will compose real code and answer to difficulties practically speaking which will permit you to get a handle on specific capabilities required for information science.
      • At the finish of every meeting, you will complete a directed task to apply your new capacities to introduce expected bosses while building your portfolio.
      • Upon each preparation, you will get an authentication which you can share or use to fortify your list of references with your expert network.
      • You are outfitted with every one of the capacities expected to turn into an information researcher after culmination of the entire program.

      Roles and Responsibilities of Data Science with Python:

      Management: The information researcher plays out an insignificant administration work in supporting the structure of the data set of modern and innovative abilities to help different arranged and progressing information analyses.

      Analytics: The information researcher plays a logical part in arranging, executing, and assessing significant level insights and methodologies for application in the most confounded business challenges. For various issues, like projections, grouping, bunching, design investigation, examining, reproduction, and so forth, the information researcher makes monetary and measurable models.

      Strategy/Design: The Data Scientist is basic in the making of imaginative systems to comprehend the association's client patterns and the executives, just as techniques to address complex business issues, like the advancement of item satisfaction and generally profit.

      Collaboration: The Data Scientist's obligation is anything but a desolate one, and in this position, he teams up with better information researchers than pass on difficulties and results to key partners to further develop the organization execution and choice making.

      Knowledge: The Data Scientist is likewise driving the way in investigating different innovations and methods to give novel information-driven bits of knowledge at the deftest conceivable rate for the organization. For this situation, the information researcher additionally steps up to the plate and examine and utilize new and better business information science philosophies that he gives to the SCO.

      Additional Duty: A information researcher additionally embraces related liabilities and undertakings as the senior information researcher, the information science chief, the information director, or the business assigns.

      Certification Of Data Science with Python:

      Simplilearn gives you an endorsement of industry-perceived fulfillment with never-ending legitimacy once you effectively finish the information science with Python coursework.AnalytixLabs affirmation is generally regarded in the business, because of our grounded area information and eminent clients in India and universally. We should keep up with the nobility of our accreditation methodology as the most elevated class Data Science Institute of India.

      You will just get a recognition subsequent to introducing an obligatory task work and surveying it decently as a component of your instructional class. For these errands and ventures, there is no pass/fail.In case the tasks and activities are not forward-thinking, students ought to be welcome to give ad lib help and backing. Nonetheless, all through the assessment, no kind of literary theft is permitted.

      Except for MCQ tests, there is no pass/fizzle for these undertakings and tasks. On account of the double confirmation program, you will have two opportunities to pass the MCQ tests.Our objective is to furnish learners with important active experience so they are good to go for new employee screenings and perform adequately at their employment.

      Who can Learn Data Science with Python:

      Long perceived according to a syntactic perspective, Python is a direct programming language. Python offers additionally a huge scope of libraries and assets in a functioning local area. You have a stage to use with innovations, for example, AI and information science.

      Information science experts would prefer not to become involved with complex programming needs. They might want to make bother-free use of programming dialects, for example, Python and Ruby. Ruby is acceptable with different information pre-preparing tasks, for instance in information clearing and information munging. Be that as it may, there are not however many libraries for AI concerning Python.

      In terms of information science and AI, Python is hence given the edge. In expansion, Python permits designers to construct programs and execute models to accelerate the advancement of interaction. When the undertaking has been changed into a logical device or application, it can in case fundamental be moved to further developed dialects like Java or C.

      New information researchers are inclining toward Python as a result of its easy-to-use approach. So famous without a doubt, Python is viewed as their #1 programming language by a shocking 48% of information researchers with five or fewer long stretches of expertise. This number is decreased by the ascent in the level of involvement and investigation. For information specialists, Python ended up being an ideal beginning point.

      Why is Python suitable for information science?

      Python is the programming language of decision for regular exercises tended to by information researchers and one of the business' driving information science tools. Python is often the ideal decision for information researchers who need to place factual code into creation data sets or to associate information with electronic applications. It is additionally reasonable for calculations, which information researchers normally need to perform.

      There are other Python bundles planned particularly for explicit capacities, like pandas, NumPy, and SciPy. Python's sci-pack learn is a useful and significant instrument for information researchers chipping away at different AI projects. Another Python library, Matplotlib, is an incredible decision for information science applications that require illustrations and other visualizations. When the code is written in a liquid and regular style, it is alluded to be 'Pythonic.' Aside from that, Python is notable for extra qualities that have provoked the curiosity of the information science community.

      Why does Python make a difference to the investigation of data?

      It is soft.If you need to accomplish something creative which has never occurred, Python is the ideal decision for you. It is incredible for creating applications and sites that wish to be scripted.

      It's Simple to Understand.Its accentuation on effortlessness and intelligibility brings about a smooth and somewhat low expectation to absorb information. A python is an incredible instrument for amateur developers because of its usability. Python gives software engineers the upside of requiring fewer lines of code to perform things than more established dialects require. At the end of the day, you invest less energy in managing code and additional time playing with it.

      Open source It is python is open-source, which infers that it is free and utilizes an improvement approach for the local area. Python is appropriate for Windows and Linux applications. It might likewise be promptly shipped to numerous stages. There are a few Python open-source libraries, for instance, information control, information seeing, insights, math, AI, and normal language preparing (however see beneath for additional about this).

      It has a great deal of support.Anything that can turn out badly will turn out badly, and in case you're using something for which you didn't need to pay, discovering help may be troublesome. Python, luckily, has a major after and is generally utilized in scholastic and industry circles, subsequently, there are numerous useful investigation libraries open. Python clients needing help may consistently depend on Stack Overflow, mailing gatherings, and client contributed code and documentation. Furthermore, as Python fills in fame, more clients will submit data about their client encounters, bringing about extra free assistance material. These outcomes in a self-sustaining twisting of worthiness by an expanding number of people.

      Industry Trends in Data Science with Python:

      TensorFlow - TensorFlow is perhaps a library for superior numerical calculations with around 35000 comments and a lively collection of some 500 contributors. It is utilized in several sectors of science. TensorFlow is a framework for the description and operation of tensor calculations that measure machine objects partially described, which finally provide a value. Better display of the machine graph. Reduces neural machine learning errors by 50 to 60 p.c. Smooth library management, parallel computing to perform complex models.

      SciPy (Scientific Python) - SciPy (Scientific Python) is another free and ASCII text file Python library for knowledge research that is widely used for high-level calculations. Zippy has about nineteen repositories on GitHub and a thriving community of around 600 people. It is widely used for scientific and technical computations since it extends NumPy and provides a variety of simple and cost-effective algorithms for scientific calculations. Algorithms and functions are written in Python using the NumPy module. Commands for manipulating knowledge and mental images at the highest levels. SciPy image submodule for multidimensional image processing.

      NumPy — NumPy (numerical python) provides a strong N-dimensional array object as the fundamental computer package in Python. There are about 18000 comments on GitHub and a vibrant 700-person community. It is a generic array processing program with better flat objects known as arrays and tools. In addition, NumPy partially solves the sluggish disadvantage by offering such flat arrays as the supply of features and operators with efficiency.

      Matplotlib - Matplotlib provides strong but visually appealing visualizations. It's a Python charting package with over 26,000 comments on GitHub and a thriving community of 700 developers. It is often used for information mental because of the graphs and charts that it generates. It also has an object-oriented API in case you wish to include such graphs in your apps.

      PyTorch – PyTorch is a Python-based scientific computing package using the strength of graphics processing units, and the next item in the list of the top Python libraries for data science. PyTorch is one of the most popular profound learning systems for research designed to give maximum flexibility and speed.

      BeautifulSoup is a successful Python package for data science. This is another popular Python module, well known for internet creep and information scraping. Users will collect information that square measure given on some website without a suitable CSV or API, and BeautifulSoup will assist them in scraping it and preparing it in the desired format.

    Tools of Data Science with Python:

    • SAS
    • Hadoop is an acronym for Apache Hadoop
    • Tableau
    • Knime
    • RapidMiner
    • Excel
    • Flink (Apache)
    • Minitab
    • Kafka (Apache)
    • QlikView
    • MicroStrategy
    • Google Analytics is a web analytics service

    Advantages of Data Science with Python Online Course:

    1.Simplicity:

    • The first thing that strikes a chord when discussing Python's allure in programming and information science is its simplicity.
    • The inborn straightforwardness and openness of Python make it a fledgling cordial language is perhaps the best trademark. Its reasonable sentence structure offers a more limited expectation to learn and adapt than most other languages.
    • You could construct a program in Python a lot quicker than you may write in different dialects like C ++ or Java.
    • Python saves time by permitting you to bounce solidly into the review without going through hours understanding documentation. Python is presently generally utilized for information investigation, measurable examination, web advancement, message preparing, and an assortment of other tasks.
    • 2. Bibliothèques — for each need, there's one:

    • While the effortlessness of Python makes it the principal pick for some, its superb library arrangement makes it much more enticing to experts in the information sciences. Throughout the long term, the expansion of libraries that further grow its abilities has enhanced Python. You are sure you will discover such countless libraries customized to meet your information science requirements.
    • In the field of information science, NumPy is one of the early libraries. It has undeniable level number-crunching capacities working on multi-dimensional clusters and lattices and is great for logical computation.
    • SciPy is the logical partner of NumPy.
    • It incorporates each of the instruments required for mathematical combination and fruitful logical information processing.
    • Matplotlib is a 2D-plotting bundle that incorporates every one of the devices needed for information representation.
    • Scikit-Learn and PyBrain are AI libraries that give modules to building neural networks.
    • Other libraries incorporate SymPy (factual applications); Shogun, PyLearn2, and PyMC (AI); Bokeh, ggplot, Plotly, prettyplotlib, and seaborn (information perception and plotting); and csvkit, PyTables, and SQLite3 (information preparing and capacity), to specify a few.
    • 3. A way to deal with multiparadigm:

    • A great component about Python is that it is a multi-worldview programming language, instead of OOP dialects.
    • For the model, you would need to assemble a different OO class in Java to print 'Hi World,' yet you don't need to do as such in Python. Python offers useful, procedural, and object-based programming just as perspective-driven methodologies, with a multi-worldview approach.
    • 4. Mix of Enterprise application (EAI):

    • Python is a decent stage for the mix of business applications (EAI).
    • As currently said, even in other programming dialects, Python is firmly coordinated into applications.
    • This makes the web improvement measure simpler to coordinate with other languages.
    • You may, for instance, conjure parts of CORBA/COM and call Java, C++, and C code straightforwardly and straightforwardly. Python's incredible Java, C, and C++ interoperability make it an ideal application prearranging solution.
    • A python is additionally a supportive apparatus for programming testing due to its solid text preparing and joining abilities. It incorporates its unit testing system and may likewise be utilized to make complex GUI work area apps.
    • 5. The Jupyter Notebook is the fifth thing on the list:

    • Every Python coder knows about The Jupyter Notebook.
    • It is a free and open-source online device that permits developers to compose expressive code.
    • The Jupyter Notebook is a helpful device for Data Science and Machine Learning.
    • It permits you to introduce your discoveries and incorporate the results (perceptions) in a similar record as your code.
    • The Jupyter Notebook is one of the various administrations presented by the Google Colaboratory that permits you to utilize free cloud administrations and superior GPUs for running the Jupyter Notebook.
    • You might save your information and notes on your Google Drive as Google Colab is synchronized consistently with Google Drive applications.
    • 6. There is consistently somebody to depend on in the community:

    • The Python people group will consistently be there for you, for better or in negative ways. There is no trouble, issue, or question that Python fans and volunteers won't fix or reply to.
    • All you need to do is ask.
    • One of the most outstanding qualities of open-source networks is that they are continually open to discussion.
    • To sum up, Python has demonstrated to be a distinct advantage in the field of information science.
    • It is so brimming with important instruments and components that it is the main pick of numerous Data Scientists and Data Analysts all around the world.
    • While we are certain that the contentions recorded above are adequate to exhibit the advantages of Python for Data Science.
    • Placement of Data Science with Python:

      Python is one of the world's most imaginative data science programming systems. It is likewise perhaps the most straightforward language of programming once it has the limit. There is, nonetheless, still a critical divergence among market interest for python specialists. In Bharat alone, yet the whole way across the world, the capacity hole doesn't exist. Indeed, even the main coding organizations in India don't have the necessary Python assets. While language quality has been acquired, the craving in seeking after a course or certificate is as yet not sufficient this ability to begin a calling isn't enough.

      Python engineer: This is perhaps the clearest profession that you might expect to acquire if you utilize this ability. The measurements displayed in the previous area show unequivocally that there will consistently be open Python engineer jobs to carry out. Make sites to address data concerns, investigation, and fabricate innovation that is reusable and financially savvy. Enhance data calculations to execute information insurance and security.

    Benefits of Data science with Python Online Training:

    A python is a smart apparatus with an expansive assortment of benefits in the field of information science. It is flexible and continually advancing because it is open-source. Besides, Python offers a variety of supportive libraries that might be joined as well as existing designs with different dialects (like Java). Short account - A python is an incredible instrument in information science.

    The first of Python's few information advantages is its effortlessness. Though certain researchers return with a mechanical foundation or perceive diverse programming dialects, they have a few measurable foundations, mathematics, or different procedures, and after entering the field of information science they ought not to have the most extreme number of cryptography aptitude. Python's linguistic structure is not difficult to peruse and compose, which makes it simple to begin and learn rapidly.

    If the sheer number of individuals utilizing Python isn't sufficient to persuade you regarding its importance in information science, perhaps the libraries accessible to make information science cryptography less difficult can. In Python, a library may be an assortment of modules with pre-constructed code to assist with normal assignments. They permit the United States to profit from and depend on the work of others. Some information science exercises would be troublesome and tedious to code without any preparation in different dialects. In Python, there are a few libraries accessible, for example, NumPy, Pandas, and Matplotlib to create information cleaning, information investigation, information visual picture, and machine learning.

    Skills of Data Science with Python:

    A decent information researcher's coding capacities, alongside measurable arrangement and the ability to think basically. A portion of the information researcher abilities needed in information science which will profit from extraordinary occupation prospects are:

    • Program Language: Applied arithmetic and insights for R/Python/Java.
    • Hadoopand's work information Machine Learning and Neural Networks: SQL and NoSQL databases.
    • Expertise in the system of significant learning: Keras, Pytorch TensorFlow.
    • Knowledge of inventive ideas and industry.
    • Visualizing Data.
    • Mining and examination of data.
    • Mixing and Manipulation of Data.
    • Analysis and demonstrating of statistics.
    • Modeling predictive.
    • Data Analysis Python.

    Pay Scale for Cyber Security

    • Knowledge of R followed by Python is the most huge and wanted capacity.
    • In India alone, Python's compensation promises INR 10.2 lakhs.
    • The mix of large information and information science works on the payment of an information expert by 26% contrasted with just one field in which he is competent.
    • Between INR 9.1-10.8 lakhs, SAS clients are remunerated contrasted with INR 7.3 lakhs acquired by SPSS specialists.
    • Machine learning compensation in India start in the scope of 3.5 lakhs INR to go up to 16 lakhs INR if you progress in this sector.
    • Python is one of the most suggested dialects in ML, and Python designer compensations are among the top in India.

    • In India alone, Python's compensation promises INR 10.2 lakhs.
    • In examination with the skill in just one field, the consolidated comprehension of large information and information science raises an information expert's pay by 26%.
    • Between INR 9.1-10.8 lakhs, SAS clients are repaid contrasted with INR 7.3 lakhs acquired by SPSS specialists.
    • An broad comprehension of Artificial Intelligence can assist you with progressing in your calling.
    • If you are new to the field, the Artificial Intelligence pay in India isn't under 5-6 lakh INR.
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    Key Features

    ACTE Fremont offers Data Science with Python Training in more than 27+ branches with expert trainers. Here are the key features,
    • 40 Hours Course Duration
    • 100% Job Oriented Training
    • Industry Expert Faculties
    • Free Demo Class Available
    • Completed 500+ Batches
    • Certification Guidance

    Authorized Partners

    ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS .
     

    Curriculum

    Syllabus of Data Science with Python Course in Fremont
    Module 1: Introduction to Data Science
    • What is Data Science?
    • What is Machine Learning?
    • What is Deep Learning?
    • What is AI?
    • Data Analytics & it’s types
    Module 2: Introduction to Python
    • What is Python?
    • Why Python?
    • Installing Python
    • Python IDEs
    • Jupyter Notebook Overview
    Module 3: Python Basics
    • Python Basic Data types
    • Lists
    • Slicing
    • IF statements
    • Loops
    • Dictionaries
    • Tuples
    • Functions
    • Array
    • Selection by position & Labels
    Module 4: Python Packages
    • Pandas
    • Numpy
    • Sci-kit Learn
    • Mat-plot library
    Module 5: Importing data
    • Reading CSV files
    • Saving in Python data
    • Loading Python data objects
    • Writing data to csv file
    Module 6: Manipulating Data
    • Selecting rows/observations
    • Rounding Number
    • Selecting columns/fields
    • Merging data
    • Data aggregation
    • Data munging techniques
    Module 7: Statistics Basics
    • Central Tendency
    • Mean
    • Median
    • Mode
    • Skewness
    • Normal Distribution
    • Probability Basics
    • What does mean by probability?
    • Types of Probability
    • ODDS Ratio?
    • Standard Deviation
    • Data deviation & distribution
    • Variance
    • Bias variance Trade off
    • Underfitting
    • Overfitting
    • Distance metrics
    • Euclidean Distance
    • Manhattan Distance
    • Outlier analysis
    • What is an Outlier?
    • Inter Quartile Range
    • Box & whisker plot
    • Upper Whisker
    • Lower Whisker
    • catter plot
    • Cook’s Distance
    • Missing Value treatments
    • What is a NA?
    • Central Imputation
    • KNN imputation
    • Dummification
    • Correlation
    • Pearson correlation
    • Positive & Negative correlation
    • Error Metrics
    • Classification
    • Confusion Matrix
    • Precision
    • Recall
    • Specificity
    • F1 Score
    • Regression
    • MSE
    • RMSE
    • MAPE
    Module 8: Machine Learning Module 9: Supervised Learning
    • Linear Regression
    • Linear Equation
    • Slope<
    • Intercept
    • R square value
    • Logistic regression
    • ODDS ratio
    • Probability of success
    • Probability of failure
    • ROC curve
    • Bias Variance Tradeoff
    Module 10: Unsupervised Learning
    • K-Means
    • K-Means ++
    • Hierarchical Clustering
    Module 11: Other Machine Learning algorithms
    • K – Nearest Neighbour
    • Naïve Bayes Classifier
    • Decision Tree – CART
    • Decision Tree – C50
    • Random Forest
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    Our Top Hiring Partner for Placements

    ACTE Fremont offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.
    • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
    • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
    • After completion of 70% Data Science with Python training course content, we will arrange the interview calls to students & prepare them to F2F interaction
    • Data Science with Python Trainers assist students in developing their resume matching the current industry needs
    • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
    • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

    Get Certified By Oracle & Industry Recognized ACTE Certificate

    Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees. Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

    Complete Your Course

    a downloadable Certificate in PDF format, immediately available to you when you complete your Course

    Get Certified

    a physical version of your officially branded and security-marked Certificate.

    Get Certified

    About Experienced Data Science with Python Trainer

    • Our Data Science with Python Training in Fremont. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
    • As all Trainers are Data Science with Python domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
    • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
    • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
    • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Science with Python training to the students.
    • We have received various prestigious awards for Data Science with Python Training in Fremont from recognized IT organizations.

    Data Science with Python Course FAQs

    Looking for better Discount Price?

    Call now: +91-7669 100 251 and know the exciting offers available for you!
    • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
    • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
    • More than 3500+ students placed in last year in India & Globally
    • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
    • 85% percent placement record
    • Our Placement Cell support you till you get placed in better MNC
    • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE
      • Gives
    Certificate
      • For Completing A Course
    • Certification is Accredited by all major Global Companies
    • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS .
    • The entire Data Science with Python training has been built around Real Time Implementation
    • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
    • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
    All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
    No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
    We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

    Why Should I Learn Data Science with Python Course At ACTE?

    • Data Science with Python Course in ACTE is designed & conducted by Data Science with Python experts with 10+ years of experience in the Data Science with Python domain
    • Only institution in India with the right blend of theory & practical sessions
    • In-depth Course coverage for 60+ Hours
    • More than 50,000+ students trust ACTE
    • Affordable fees keeping students and IT working professionals in mind
    • Course timings designed to suit working professionals and students
    • Interview tips and training
    • Resume building support
    • Real-time projects and case studies
    Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
    You will receive ACTE globally recognized course completion certification Along with project experience, job support, and lifetime resources.
    We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
    We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Data Science with Python batch to 5 or 6 members
    Our courseware is designed to give a hands-on approach to the students in Data Science with Python. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
    You can contact our support number at +91-7669 100 251 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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    Request for Class Room & Online Training Quotation

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